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Exec Summary: The 2023 Healthcare Provider IT Report by Bain & Company and KLAS Research finds that US healthcare providers are spending heavily on IT, reflecting how technology has become a leading strategic priority. In a survey of 201 US healthcare provider executives conducted in June 2023, 56% of the respondents cited software and technology as one of their top three strategic priorities, compared with 34% in 2022. Around 75% of respondents expect growth in software and technology spending to continue over the next 12 months. The report also finds that providers are prioritizing their IT investments in certain key areas, such as: Revenue cycle management (RCM): RCM is the process of managing the financial aspects of patient care, from billing and coding to collections and denials. Providers are investing in RCM software to improve their efficiency and accuracy, and to reduce costs. Patient intake: Patient intake is the process of registering new patients and getting them started in the healthcare system. Providers are investing in patient intake software to improve the patient experience and to streamline their administrative processes. Cybersecurity: Cybersecurity is a top concern for all healthcare organizations, as they are increasingly targeted by cyberattacks. Providers are investing in cybersecurity software and services to protect their data and systems. In addition to these specific areas, providers are also investing in IT to improve clinical care, enhance patient engagement, and support population health management. The report also highlights some of the key trends in the healthcare IT market, such as the rise of cloud computing, artificial intelligence (AI), and machine learning (ML). Cloud computing is allowing providers to access and manage their IT resources more efficiently and cost-effectively. AI and ML are being used to develop new tools and applications that can help providers improve clinical care, reduce costs, and enhance the patient experience. Overall, the report finds that healthcare IT is a rapidly growing market, and that providers are investing heavily in technology to improve their operations and deliver better care to patients. Here are some of the key implications of the report for providers, software players, and investors: Providers: Providers should carefully consider their IT priorities and invest in the technologies that will have the greatest impact on their organization. Providers should also focus on developing a strong IT strategy and on aligning their IT investments with their overall business goals. Software players: Software players should focus on developing solutions that meet the specific needs of healthcare providers. Software players should also work closely with providers to understand their challenges and to develop solutions that can help them improve their operations and deliver better care to patients. Investors: Investors should look for healthcare IT companies that are developing innovative solutions that meet the needs of providers. Investors should also look for companies with strong track records of execution and that are well-positioned to benefit from the continued growth of the healthcare IT market. Engage with the HealthTech Community HealthTech M&A Newsletter from Nelson Advisors - Market Insights & Analysis for Founders & Investors. Subscribe today! https://lnkd.in/e5hTp_xb HealthTech M&A Advisory by Founders for Founders, Owners & Investors. Buy Side, Sell Side, Growth and Strategy mandates - Email lloyd@nelsonadvisors.co.uk HealthTech Thought Leadership from Nelson Advisors - Industry Insights & Analysis for Founders, Owners & Investors. Visit https://www.healthcare.digital Key Points from the 2023 Healthcare Provider IT Report The Bain and KLAS healthtech report is an annual report that examines the state of healthcare IT investment and trends. The 2023 report found that software investments remain a top priority for healthcare providers, with 56% of respondents citing software and technology as one of their top three strategic priorities. This is up from 34% in 2022. The report also found that providers are focusing their software investments on revenue cycle management, patient intake, and cybersecurity. Providers are also streamlining tech stacks and looking to their electronic health record providers and other existing vendors for new tools before turning to other offerings. The report's authors conclude that the healthcare IT market is poised for continued growth in the coming years, as providers continue to invest in software to improve their efficiency, quality of care, and cybersecurity. Prioritising revenue cycle management and clinical workflow optimization Driven by financial challenges and shrinking margins, the study shows executives prioritize investments in areas with clear, near-term ROIs, such as revenue cycle management (RCM) and clinical workflow optimization software. Patient engagement has moved up the list of priorities, particularly among more advanced or digitally mature providers. In addition to RCM and clinical workflow optimization, the survey found freestanding hospitals and physician groups are prioritizing other core systems, namely electronic health records (EHR) and IT infrastructure. Providers want fewer vendors and seamless EHR integration Providers continue to express a preference for fewer vendors. The survey showed nearly two-thirds of respondents saying they look first to existing vendors, especially electronic health record providers, for new functionality before evaluating new vendors and offerings. While 94% of respondents are open to looking elsewhere if existing vendors lack a solution or have a significant functionality gap, seamless EHR integration is a key purchasing criterion for all healthcare providers evaluating IT solutions. AI strategy moves from the IT department to the C-suite Around 70% of health system respondents indicate they believe AI will have a greater impact on their organization than last year, moving AI strategies from the IT department to the C-suite. While only 6% of respondents have a generative AI strategy today, the survey found about 50% of respondents are actively developing a strategy or planning to do so in the near-term. Relative to other provider segments, AMCs lead in AI adoption both today and over the next year. Providers with more advanced AI strategies, especially AMCs, have positive AI sentiments overall due to the potential for greater efficiency, improved patient outcomes, and cost savings. Source: https://www.prnewswire.com/news-releases/bain--company-and-klas-study-finds-80-of-us-healthcare-providers-are-accelerating-spending-on-it-and-software-with-ai-top-of-mind-301924673.html Key Points for Providers, Vendors & Investors Overall, the Bain & Company - KLAS Research 2023 HealthTech Report provides valuable insights for all stakeholders in the healthcare IT market. Providers, vendors, and investors should all carefully consider the findings of the report to develop informed strategies for the future. Key Points for Providers: Software investments are a top priority, with 56% of respondents citing software and technology as one of their top three strategic priorities. Providers are focusing their software investments on revenue cycle management, patient intake, and cybersecurity. Providers are streamlining tech stacks and looking to their electronic health record providers and other existing vendors for new tools before turning to other offerings. Emerging technologies such as artificial intelligence and machine learning are gaining interest, but providers are still cautious about adoption. Key Points for Vendors: The healthcare IT market is poised for continued growth in the coming years. Providers are looking for vendors that can offer integrated solutions that address their specific needs. Vendors need to invest in emerging technologies such as artificial intelligence and machine learning in order to stay competitive. Vendors need to build trust with providers by demonstrating the value of their products and services. Key Points for Investors: The healthcare IT market is a growing market with a lot of potential. Investors should focus on companies that are developing innovative solutions to address the challenges facing healthcare providers. Investors should also consider investing in companies that are well-positioned to benefit from the adoption of emerging technologies such as artificial intelligence and machine learning. Final Thoughts The Bain & Company - KLAS Research 2023 HealthTech Report is a comprehensive and informative report that provides insights into the state of the healthcare IT market. However, the report has also been criticized for some of its findings and recommendations. One of the main criticisms of the report is that it is too focused on the needs of large healthcare providers. The report found that large providers are investing more in healthcare IT than small providers, and it recommended that small providers should focus on streamlining their tech stacks and looking to existing vendors for new tools. However, some critics have argued that the report does not adequately address the challenges faced by small providers, who often have fewer resources and less bargaining power than large providers. Another criticism of the report is that it does not adequately address the issue of healthcare IT costs. The report found that healthcare IT costs are rising, but it did not provide any specific recommendations for how to reduce these costs. Some critics have argued that the report should have provided more specific guidance on how providers can invest in healthcare IT without breaking the bank. Finally, the report has also been criticized for its focus on emerging technologies such as artificial intelligence and machine learning. Some critics have argued that the report overstates the potential of these technologies to improve healthcare, and that it does not adequately address the challenges associated with implementing these technologies. Overall, the Bain & Company - KLAS Research 2023 HealthTech Report is a valuable resource for anyone who wants to understand the state of the healthcare IT market. However, it is important to be aware of the criticisms of the report and to consider multiple viewpoints when making decisions about healthcare IT investments. Engage with the HealthTech Community HealthTech M&A Newsletter from Nelson Advisors - Market Insights & Analysis for Founders & Investors. Subscribe today! https://lnkd.in/e5hTp_xb HealthTech M&A Advisory by Founders for Founders, Owners & Investors. Buy Side, Sell Side, Growth and Strategy mandates - Email lloyd@nelsonadvisors.co.uk HealthTech Thought Leadership from Nelson Advisors - Industry Insights & Analysis for Founders, Owners & Investors. Visit https://www.healthcare.digital

What is Amazon Polly? Amazon Polly is a text-to-speech service offered by Amazon Web Services (AWS). It uses advanced deep learning technologies to synthesize speech that sounds like a human voice. The service can be used to convert text into lifelike speech in over 30 languages and a variety of voices and accents. Users can access the Amazon Polly service via API or by using one of the many integrations with AWS services such as Amazon S3, Amazon Translate, or Amazon Alexa. The service offers a range of customization options, including adjusting the speed, pitch, volume, and pronunciation of the generated speech. Amazon Polly is commonly used for applications such as voice-enabled applications, e-learning platforms, accessibility solutions, and automated voice responses for call centers. It offers high-quality, natural-sounding speech output, making it a popular choice for a variety of use cases. What are the benefits of Amazon Polly? Here are some of the benefits of using Amazon Polly: Natural-sounding speech: Amazon Polly uses advanced deep learning technologies to synthesize speech that sounds natural and human-like. Customisation options: The service offers a range of customization options, including adjusting the speed, pitch, volume, and pronunciation of the generated speech. Multilingual support: Amazon Polly supports over 30 languages and a variety of voices and accents, making it a versatile option for international applications. Cost-effective: Amazon Polly is cost-effective, with a pay-as-you-go pricing model that allows users to pay only for what they use. Easy integration: The service can be easily integrated with a variety of AWS services, making it easy to add text-to-speech functionality to existing applications. Scalability: Amazon Polly is highly scalable and can handle large volumes of text-to-speech conversions, making it suitable for a variety of use cases. Accessibility: Amazon Polly can be used to create audio content that is accessible to people with visual impairments, learning disabilities, or other challenges that make reading difficult. Overall, Amazon Polly provides a flexible and cost-effective solution for generating high-quality, natural-sounding speech that can be customized to meet a variety of needs. How is Amazon Polly being used in Healthcare? Patient communication: Amazon Polly can be used to generate automated voice responses for call centers, appointment reminders, and patient education materials. This can help healthcare providers reach patients in a timely and efficient manner. Accessibility: Amazon Polly can be used to create audio content that is accessible to people with visual impairments, learning disabilities, or other challenges that make reading difficult. This can include medication instructions, patient education materials, or other healthcare-related content. Language translation: Amazon Polly supports over 30 languages and a variety of voices and accents, making it a versatile option for international healthcare applications. It can be used to translate patient communication materials, medication instructions, and other healthcare-related content into multiple languages. Telemedicine: Amazon Polly can be used to create natural-sounding voice chatbots or virtual assistants to provide support to patients during telemedicine appointments. This can help healthcare providers to improve the patient experience and provide more personalized care. Overall, Amazon Polly can help healthcare providers to improve patient communication, accessibility, and language translation capabilities. By leveraging this technology, healthcare organizations can provide a more patient-centric approach to care and improve patient outcomes. What are voice enabled applications? Voice-enabled applications are software applications that use voice recognition technology to accept and respond to user input through spoken commands. These applications allow users to interact with devices or services using natural language, without the need for a physical interface such as a keyboard or touch screen. Examples of voice-enabled applications include virtual assistants like Amazon Alexa or Google Assistant, speech-to-text dictation tools, voice-controlled smart home devices, and voice-enabled customer service chatbots. Voice-enabled applications can provide a more natural and intuitive way for users to interact with technology, as they do not require the user to type or navigate through menus. They can also be helpful for users with mobility or vision impairments who may find it difficult to use traditional interfaces. In recent years, the development of natural language processing (NLP) and machine learning technologies has greatly improved the accuracy and usability of voice-enabled applications, making them increasingly popular for a wide range of applications. Ufonia: next generation automated phone calls for the NHS Ufonia is an Oxford-based digital health company on a mission to transform healthcare. Together as a diverse team of clinicians, designers, researchers, engineers and customer success managers we are using technology to redefine and reimagine healthcare delivery. Ufonia has developed Dora a UKCA-marked autonomous clinical assistant that can call any number of patients, and have a natural voice conversation, covering a range of common clinical consultations. Ufonia have built next-generation technology, and conducted rigorous clinical studies to ensure high quality care is delivered safely with an excellent patient experience.Ufonia’s aim is to increase clinical activity for providers, reduce cost for payers, and improve quality for patients. Dora’s flexible scalability allows you to call as many patients as you need at anytime, without changing your current care pathway. Ufonia is deployed across multiple high volume care pathways and are growing everyday. Case Study: University Hospitals Leicester University Hospitals Leicester (UHL) treat over 1 million people a year across three hospitals in Leicester. They are one of the largest and busiest academic medical centres in the UK. UHL used Ufonia to contact all the patients on their elective orthopaedic waiting list to validate they continued to need surgery in line with NHS England’s elective recovery guidelines. Operational Challenge In March 2022 UHL’s orthopaedic service had 3588 patients waiting for a surgical procedure. These numbers were increasing month on month and many patients had been waiting throughout the COVID-19 pandemic. The UHL team wanted to identify patients who no longer wish to have surgery or who had their treatment elsewhere. Being able to remove these patients would highlight the true waiting list, so UHL could better plan their capacity to match the demand. They also wanted to speak with their patients to identify any new medical issues that might affect the risks of surgery and keep them informed about the current waiting times for surgery. Innovative Solution Developed by Ufonia, Dora is an A.I. clinical assistant that autonomously telephones patients and has a routine clinical conversation, providing a scalable, high quality and efficient patient experience. Dora was able to call all the patients on the UHL orthopaedic waiting list to support them ‘waiting well’. This released the equivalent of approximately 10 weeks of UHL staff time, saving significant costs and enabling those staff to focus on speeding up the delivery of care to patients still waiting. Dora was able to understand patients’ wishes regarding treatment, and identified 11% of patients who no longer required surgery at UHL. This was equivalent to increasing the capacity to deliver nearly nearly £3⁄4 million of additional surgical activity. Sources: https://ufonia.com/wp-content/uploads/2022/09/UHL-Orthopaedic-Surgery-Waiting-List-Case-Study-Nov22-1.pdf https://ufonia.com Future of voice-enabled applications in HealthTech The future of voice-enabled applications in HealthTech is very promising, as this technology has the potential to greatly improve the patient experience, streamline healthcare processes, and increase accessibility to healthcare services. Here are some potential ways voice-enabled applications could be used in HealthTech in the future: Virtual assistants for patient care: Voice-enabled virtual assistants could be used to provide personalized care to patients, answering questions, scheduling appointments, and even providing medication reminders. Remote patient monitoring: Voice-enabled devices could be used to monitor patient health remotely, alerting healthcare providers to changes in the patient's condition or needs for intervention. Medical transcription: Voice recognition technology could be used to transcribe medical notes, reducing the administrative burden on healthcare providers and improving accuracy. Patient education: Voice-enabled applications could be used to provide patients with personalized education on their conditions, treatments, and medications, improving patient understanding and adherence. Accessibility: Voice-enabled applications could improve accessibility to healthcare services for patients with disabilities, such as visual or motor impairments, by allowing them to use natural language to interact with devices and services. Overall, the future of voice-enabled applications in HealthTech is bright, as this technology has the potential to improve the patient experience, increase efficiency, and reduce costs. As the technology continues to develop and become more accurate and reliable, we can expect to see it increasingly integrated into healthcare systems and services. Future of voice-enabled applications in the NHS: Amazon Polly Amazon Polly can be used by the National Health Service (NHS) in a variety of ways to improve patient care, accessibility, and communication. Here are some potential use cases for Amazon Polly in the NHS: Patient communication: Amazon Polly can be used to generate automated voice responses for call centers, appointment reminders, and patient education materials. This can help healthcare providers reach patients in a timely and efficient manner. Accessibility: Amazon Polly can be used to create audio content that is accessible to people with visual impairments, learning disabilities, or other challenges that make reading difficult. This can include medication instructions, patient education materials, or other healthcare-related content. Language translation: Amazon Polly supports over 30 languages and a variety of voices and accents, making it a versatile option for international healthcare applications. It can be used to translate patient communication materials, medication instructions, and other healthcare-related content into multiple languages. Speech therapy: Amazon Polly can be used to create personalized speech therapy exercises for patients with speech and language impairments. Medical transcription: Amazon Polly can be used to transcribe medical notes, reducing the administrative burden on healthcare providers and improving accuracy. Telemedicine: Amazon Polly can be used to create natural-sounding voice chatbots or virtual assistants to provide support to patients during telemedicine appointments. This can help healthcare providers to improve the patient experience and provide more personalized care. Overall, Amazon Polly can help the NHS to improve patient communication, accessibility, and language translation capabilities. By leveraging this technology, the NHS can provide a more patient-centric approach to care and improve patient outcomes. Future of voice-enabled applications in the NHS: Ufonia Ufonia uses artificial intelligence to conduct routine medical appointments. This aims to increase patient engagement and free up more time for medical staff to focus on patients that need the most attention. Through Artificial Intelligence (AI), Ufonia makes medical appointments more accessible. It benefits both doctors and patients by helping close the increasing supply and demand gap in healthcare services. Ufonia can contact thousands of patients simultaneously at a pre-agreed time; and using AI, an automated and adaptive voice takes them through a series of questions and flags issues to healthcare professionals. Meanwhile, patients can talk to the system without new technology or skills, they just have a conversation over the phone. This technology can be applicable to a range of medical pathways and is scalable globally. As an example, Ufonia is aiming to automate the process of doing regular check-ins with patients who have or have had certain conditions or surgeries – like those who recently experienced heart failure, had an operation, or people with chronic conditions like diabetes. Rather than having to schedule an appointment with medical professionals or filling in a questionnaire, Ufonia's system would call. Sources: https://www.wealthclub.co.uk/articles/eis-reviews/ufonia-octopus-ventures/ https://www.england.nhs.uk/blog/75-years-young-why-having-an-innovation-culture-is-so-vital-to-the-nhss-longevity/ Engage with the HealthTech Community Thoughts, comments? Tweet @lloydgprice, or email lloyd@healthcare.digital and let's start a conversation :) HealthTech M&A Newsletter - Join our community and subscribe today! https://www.linkedin.com/newsletters/7071223775639281664/

Exec Summary: Amazon has been failing in healthcare for a lot of reasons, the main ones being: The healthcare industry is complex and regulated. Amazon is used to operating in a more straightforward environment, such as e-commerce. The healthcare industry is full of regulations, and it can be difficult for Amazon to navigate these regulations. Amazon has not been able to build relationships with healthcare providers. Healthcare providers are notoriously difficult to work with, and Amazon has not been able to build strong relationships with them. This has made it difficult for Amazon to get its products and services into the hands of patients. Amazon's products and services have not been well-received by patients. Amazon's healthcare products and services have not been as well-received by patients as its other products and services. This is likely due to the fact that healthcare is a personal and emotional topic, and patients are not as likely to trust Amazon with their healthcare needs. Amazon's focus on scale. Amazon is a company that is used to operating at scale. In healthcare, however, scale is not always the most important factor. In some cases, it is more important to have a deep understanding of the local market and the needs of patients. Amazon's lack of experience in healthcare. Amazon is a relatively new entrant to the healthcare industry. It does not have the same level of experience as some of its competitors, such as UnitedHealth Group and CVS Health. The changing landscape of healthcare. The healthcare industry is constantly changing. This can make it difficult for Amazon to keep up with the latest trends and regulations. Amazon has spent many years and billions of dollars on healthcare projects with varying degrees of success, some of them have been a big success and others a big failure. The key areas where Amazon has been involved: Amazon Care: Amazon launched Amazon Care, a virtual healthcare service for its employees, in 2019. The service provides employees with access to telehealth consultations, in-person follow-ups, and prescription deliveries. PillPack: In 2018, Amazon acquired PillPack, an online pharmacy that specializes in delivering medications to customers' homes. This acquisition aimed to enhance Amazon's presence in the pharmaceutical space. Alexa in Healthcare: Amazon has been working on integrating its voice assistant, Alexa, into healthcare settings. Alexa can provide health information, schedule appointments, and connect users to healthcare providers through voice commands. AWS in Healthcare: Amazon Web Services (AWS), the cloud computing division of Amazon, has been offering various solutions for healthcare organizations, including data storage, analytics, machine learning, and telehealth platforms. Health-related Devices: Amazon has developed and marketed several health-related devices, such as the Amazon Halo wearable, which tracks various health metrics, and the Echo Loop smart ring, which can monitor user activity and wellness. Amazon's 3 big failed Healthcare projects Wearable Devices, TeleHealth and Affordable Care are the 3 big projects where Amazon has failed to gain traction and closed down in the last few years. Amazon Halo Amazon Halo is a health and wellness wearable device developed by Amazon. It was announced in August 2020 and aims to provide users with insights into their overall health and well-being. The Amazon Halo consists of a wristband that tracks various metrics, including activity, sleep patterns, heart rate, body temperature, and even tone of voice analysis. It uses a combination of sensors and machine learning algorithms to provide personalized health recommendations and insights based on the collected data. One unique feature of Amazon Halo is the Tone feature, which analyzes the user's voice to provide insights into their emotional state and communication style. It can detect emotions like happiness, sadness, and stress, and offers suggestions for improving communication. While the Amazon Halo has some innovative features, it has also faced criticism and concerns regarding privacy and data security. The device collects a significant amount of personal health data, which raises privacy concerns among users. Amazon has made efforts to address these concerns by implementing strong data protection measures and giving users control over their data. It's worth noting that my knowledge is based on information available up until September 2021, and there may have been updates or changes to the Amazon Halo since then. For the most up-to-date information on the device and any potential developments or issues, I recommend referring to official Amazon sources or recent news articles. Amazon Care Amazon Care is a healthcare service provided by Amazon for its employees. It was initially launched in 2019 as a pilot program for employees in the Seattle area and expanded to other regions in subsequent years. Amazon Care offers a combination of virtual and in-person healthcare services. Through the Amazon Care app, employees can access virtual consultations with healthcare providers, receive medical advice, and even have prescriptions delivered to their homes. The service also includes in-person services such as follow-up visits, preventive health screenings, and diagnostic tests, which can be arranged through the app. The goal of Amazon Care is to provide convenient and accessible healthcare services to Amazon employees, aiming to save them time and make it easier for them to seek medical care. The service includes 24/7 access to medical professionals and is intended to address a range of non-emergency healthcare needs. It's important to note that the information I have is based on my knowledge up until September 2021, and there may have been updates or changes to Amazon Care since then. To get the most accurate and up-to-date information on the service, I recommend referring to official Amazon sources or recent news articles. Haven – joint venture with JPMorgan Chase and Berkshire Hathaway Haven was a joint venture between Amazon, JPMorgan Chase, and Berkshire Hathaway formed in 2018 with the goal of addressing healthcare costs and improving healthcare outcomes for their employees in the United States. The initiative aimed to leverage the combined resources, expertise, and scale of the three companies to create innovative solutions for the healthcare industry. While the specific details of Haven's plans and initiatives were not publicly disclosed, the overall objective was to develop new models and technologies to make healthcare more affordable and accessible. The venture intended to focus on areas such as insurance, primary care services, prescription drugs, and technology-driven solutions. However, in January 2021, it was announced that Haven would be shutting down. The companies cited the challenges of aligning their individual interests and pursuing their own separate healthcare initiatives as reasons for the decision. The venture highlighted the complexity and difficulty of transforming the healthcare industry, which is subject to extensive regulations and entrenched practices. Following the dissolution of Haven, the companies involved continued to pursue their respective healthcare initiatives independently. Amazon, for example, expanded its Amazon Care offering, while JPMorgan Chase and Berkshire Hathaway explored other avenues to address healthcare costs and employee wellness. It's important to note that my knowledge is based on information available up until September 2021, and there may have been further developments or changes since then. To get the most up-to-date information on the healthcare initiatives of Amazon, JPMorgan Chase, and Berkshire Hathaway, I recommend referring to official company announcements or recent news articles. Why is Amazon failing in Healthcare? There have been challenges and obstacles faced by Amazon and other companies attempting to make significant inroads in the healthcare industry. Factors contributing to these challenges include: Complex Healthcare Ecosystem: The healthcare industry is highly complex, heavily regulated, and involves numerous stakeholders, including healthcare providers, insurance companies, pharmaceutical companies, and government entities. Navigating this complex ecosystem and gaining traction can be challenging for any new entrant. Resistance from Incumbents: Established players in the healthcare industry may be resistant to disruption and may have their own strategies for maintaining market share. This can make it difficult for new entrants like Amazon to gain a significant foothold. Privacy and Security Concerns: Healthcare data is highly sensitive, and there are strict regulations in place to protect patient privacy. Addressing concerns around data security and privacy is crucial, and any missteps in this area can erode trust and hinder progress. Regulatory Hurdles: Healthcare regulations can vary significantly across regions and countries. Complying with these regulations while innovating and delivering new services can present significant challenges. Cultural and Behavioral Change: Transforming the healthcare industry requires not just technological advancements but also changes in cultural and behavioral norms. Encouraging adoption and acceptance of new healthcare models and technologies can be a slow and challenging process. Finally it is not all bad news, Amazon Polly is a good example of Amazon's success in Healthcare... Amazon has been successful in many areas of healthcare ranging from an online pharmacy, voice assistant technology, machine learning, AI and Amazon Polly. Amazon Polly Amazon Polly is a text-to-speech service offered by Amazon Web Services (AWS). It uses advanced deep learning technologies to synthesize speech that sounds like a human voice. The service can be used to convert text into lifelike speech in over 30 languages and a variety of voices and accents. Users can access the Amazon Polly service via API or by using one of the many integrations with AWS services such as Amazon S3, Amazon Translate, or Amazon Alexa. The service offers a range of customization options, including adjusting the speed, pitch, volume, and pronunciation of the generated speech. Amazon Polly is commonly used for applications such as voice-enabled applications, e-learning platforms, accessibility solutions, and automated voice responses for call centers. It offers high-quality, natural-sounding speech output, making it a popular choice for a variety of use cases. How is Amazon Polly being used in Healthcare? Patient communication: Amazon Polly can be used to generate automated voice responses for call centers, appointment reminders, and patient education materials. This can help healthcare providers reach patients in a timely and efficient manner. Accessibility: Amazon Polly can be used to create audio content that is accessible to people with visual impairments, learning disabilities, or other challenges that make reading difficult. This can include medication instructions, patient education materials, or other healthcare-related content. Language translation: Amazon Polly supports over 30 languages and a variety of voices and accents, making it a versatile option for international healthcare applications. It can be used to translate patient communication materials, medication instructions, and other healthcare-related content into multiple languages. Telemedicine: Amazon Polly can be used to create natural-sounding voice chatbots or virtual assistants to provide support to patients during telemedicine appointments. This can help healthcare providers to improve the patient experience and provide more personalized care. Overall, Amazon Polly can help healthcare providers to improve patient communication, accessibility, and language translation capabilities. By leveraging this technology, healthcare organizations can provide a more patient-centric approach to care and improve patient outcomes. Thoughts, comments? Tweet @lloydgprice, or email lloyd@healthcare.digital and let's start a conversation :)

The Digital Health Hype Circle 2017 Early Success Blockchain HL7 FHIR Amazon and Alexa Apple and Facial Recognition Neural Networks Drones and UAV's 4D Printing Deep Reinforcement Learning Decelerating Adoption Artifical Intelligence TeleHealth Machine Learning IOT Connected Home ChatBots and Virutal Assistants Lack of Evidence Fitness Trackers Quantified Self Big Data Personal Medical Records Google Glass Microsoft Health Vault Nike Fuel Band Oculus Rift High Potential Health Apps Virtual Reality Augmented Reality Wearable Technology Peak Interest Sleep Tracking Fertility Tracking Mental Health and CBT Previous Digital Health Hype Circles can be found by clicking on the links below .. 2017 - https://www.healthcare.digital/single-post/2017/09/17/The-Digital-Health-Hype-Cycle-2017 2018 - https://www.healthcare.digital/single-post/2018/02/20/The-Digital-Health-Hype-Cycle-2018 2019 - https://www.healthcare.digital/single-post/2019/01/12/The-Digital-Health-Hype-Cycle-2019 2020 - https://www.healthcare.digital/single-post/2020/01/29/Digital-Health-Hype-Cycle-2020 2021 - https://www.healthcare.digital/single-post/digital-health-hype-cycle-2021

I wanted to share my thoughts on what I see as the cutting edge, emerging, developing and mature technologies from around the digital health world visualised in a "Digital Health Hype Circle 2018" infographic. Early Success Haplotyping - The term "haplotype" is a contraction of the term "haploid genotype". In genetics, a haplotype is a combination of markers (technically called alleles) at multiple locations on a single chromosome. Tensorflow - an open-source software library for dataflow programming across a range of tasks. It is a symbolic math library, and also used for machine learning applications such as neural networks. Optogenetics - a biological technique which involves the use of light to control cells in living tissue, typically neurons, that have been genetically modified to express light-sensitive ion channel. Non Invasive Glucose Monitoring - A needle-free alternative to the finger-prick test would be a godsend for many sufferers of diabetes, but the industry has yet to clear the technological hurdles. Immuno-Oncology - the study and development of treatments that take advantage of the body’s immune system to fight cancer. Medical Records on iPhone - Apple already allows iPhone users to store health information gathered by the Apple Watch and other connected devices in its Health app, but this is the first time a system for retrieving records from a variety of medical providers has been launched on a smartphone. Neuralink - an American neurotechnology company founded by Elon Musk and eight others, reported to be developing implantable brain–computer interfaces. Deep Learning Contouring - a recent advancement in machine learning and artificial intelligence, extending artificial neural networks to multiple layers. These neural networks learn to mimic human behavior by iteratively improving their performance on hundreds of training examples Captology -the study of computers as persuasive technologies. This includes the design, research, ethics and analysis of interactive computing products (computers, mobile phones, websites, wireless technologies, mobile applications, video games, etc.) created for the purpose of changing people's attitudes or behaviour. Brain to Computer Interfaces - sometimes called a neural-controlinterface (NCI), mind-machine interface (MMI), direct neural interface (DNI), or brain–machine interface(BMI), is a direct communication pathway between an enhanced or wired brain and an external device Google Project Soli - a new sensing technology that uses miniature radar to detect touchless gesture interactions. Ingestible Sensors - also known as smart pill technology. A computer chip in the form of a small capsule is swallowed, just like taking a daily vitamin. The sensor will read what’s going into the body, and transmit that information to an outside device, like a smartphone. Decelerating Adoption Symptom checkers - AI asks questions about members’ medical conditions anonymously and provides a preliminary evaluation of their symptoms to assess whether or not medical treatment is needed. HoloLens - also known as Project Baraboo, is a pair of mixed reality smartglasses developed and manufactured by Microsoft. HoloLens gained popularity for being one of the first computers running the Windows Mixed Reality platform under the Windows 10 operating system. CRISPR - Clustered Regularly Interspaced Short Palindromic Repeats, which are the hallmark of a bacterial defense system that forms the basis for CRISPR-Cas9 genome editing technology. Non invasive imaging - The term noninvasive is used to denote a procedure where no instrument is introduced into a patient's body which is the case for most imaging techniques used. Persuasive Architecture - more broadly within the healthcare domain, the prospective value of persuasive mobile technology is seen in changing individuals by incorporating persuasion features into the design of mobile phone technology. Lack of Evidence IBM Watson - uses natural language capabilities, hypothesis generation, and evidence-based learning to support medical professionals as they make decisions. For example, a physician can use Watson to assist in diagnosing and treating patients. Virtual Reality - healthcare is one of the biggest adopters of virtual reality which encompasses surgery simulation, phobia treatment, robotic surgery and skills training. One of the advantages of this technology is that it allows healthcare professionals to learn new skills as well as refreshing existing ones in a safe environment Google Glass 2 - the new, updated version of the device is known as Glass Enterprise Edition. The integrated display on Glass can be used to provide the doctor with information about the patient in real time as they perform an examination. High Potential Digital Phenotype - Digital phenotyping is a multidisciplinary field of science, defined as the “moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices,” in particular smartphones. Precision Medicine - a medical model that proposes the customization of healthcare, with medical decisions, treatments, practices, or products being tailored to the individual patient. Remote Consultations - offer potential advantages to patients (who are spared the cost and inconvenience of travel) and the healthcare system (eg, they may be more cost-effective). HL7 FHIR - Fast Healthcare Interoperability Resources (FHIR, pronounced "fire") is a draft standard describing data formats and elements (known as "resources") and an application programming interface (API) for exchanging electronic health records. Blockchain - Blockchain technology applications in healthcare shows promise for solving issues such as its used in EHR distribution of data and nationwide interoperability. However, more research, trials and experiments must be carried out to ensure a secure and established system is implanted before using blockchain technology on a large scale in healthcare. Voice technology - the idea of voice as a “universal remote control” or natural user interface in healthcare is very compelling. Voice is how we engage each other; we need to move it from novelty to a standard of care. Peak Interest Secure Messaging - Strict healthcare privacy rules make SMS messaging a tough sell to care providers. More secure messaging is needed to meet their expectations. Similar to other messaging services, secure messaging utilizes a server-based approach which enables "secure and protected transmission of information between patients and their providers, including clinicians and their support staff. TeleHealth - Telehealth is a collection of means or methods for enhancing health care, public health, and health education delivery and support using telecommunications technologies. Telehealth encompasses a broad variety of technologies and tactics to deliver virtual medical, health, and education services. Personal health assistants - technology has advanced to the point where computers have become superior to the human mind; they are more accurate and consistent, and they are better at processing all the determinants of health and wellbeing than even the best of doctors. Remote monitoring - a technology to enable monitoring of patients outside of conventional clinical settings (e.g. in the home), which may increase access to care and decreasehealthcare delivery costs. Incorporating RPM in chronic disease management can significantly improve an individual's quality of life. IOT - As healthcare IoT continues to evolve, the technology has the potential to transform patient care and improve physician efficiency. Wearable Tech - Many healthcare providers are in tune with the wearable health technology market and examining whether wearables fit in their long-term treatment plans. Previous Digital Health Hype Circles can be found by clicking on the links below .. 2017 - https://www.healthcare.digital/single-post/2017/09/17/The-Digital-Health-Hype-Cycle-2017 2018 - https://www.healthcare.digital/single-post/2018/02/20/The-Digital-Health-Hype-Cycle-2018 2019 - https://www.healthcare.digital/single-post/2019/01/12/The-Digital-Health-Hype-Cycle-2019 2020 - https://www.healthcare.digital/single-post/2020/01/29/Digital-Health-Hype-Cycle-2020 2021 - https://www.healthcare.digital/single-post/digital-health-hype-cycle-2021

For the third year in a row I would like to share my thoughts on what I see as the cutting edge, emerging, developing and mature technologies from around the digital health world visualised in a "Digital Health Hype Circle 2019" infographic. Early Success Haptic Technology - Haptic technology or kinesthetic communication recreates the sense of touch by applying forces, vibrations, or motions to the user. Bioimpedance Tech - Bioimpedance is a measure of how well the body impedes electric current flow. Fat has high resistivity, blood lower resistivity. Personal Health Records - A personal health record (PHR) is a digital tool enabling individuals to manage and maintain their own healthcare, recording their own data, communicating with care services and accessing record. HL7 FHIR V4 - HL7 International published the long-anticipated FHIR Release 4 (R4), allowing healthcare organizations to make new leaps forward in health data interoperability. Oura Ring V2 - The Oura Ring 2 is an exciting ring-shaped health tracking device that measures something a little different from all the other calorie-focused trackers out there. In theory it can help you to feel better, perform better, and make smarter decisions regarding health and training. Amazon Prime for Healthcare - Amazon has been making a series of moves into the healthcare space. Put them together and you have the outline of a plan for a radical shakeup of the industry. Apple Skin ID - newly published patents for the Apple Watch suggests a novel form of biometric authentication that reads skin texture to identify a user. Non Fungible Tokens (Crypto) - As healthcare becomes increasingly digitised, non-fungible tokens could play a major role in this transition, allowing for the goods and services of today to be rendered in a digital form. Split Neural Networks - AI researchers have been advancing new techniques for training machine-learning models while keeping the data confidential. A split neural network allows one person to start training a deep-learning model and another person to finish. BioHacking - Biohacking is a fairly new practice that could lead to major changes in our life. You could it call citizen or do-it-your-self biology. It takes place in small labs, mostly non-university — where all sorts of people get together to explore biology Loneliness Tech - Loneliness technology aims to address the complex and usually unpleasant emotional responses to isolation. Loneliness typically includes anxious feelings about a lack of connection or communication with other beings, both in the present and extending into the future. Decelerating Adoption FemTech - (Female technology) is a term applied to a category of software, diagnostics, products, and services that use technology often to focus on women's health. This sector includes fertility solutions, period-tracking apps, pregnancy and nursing care, women’s sexual wellness, and reproductive system health care. Swallowable Tech - typically ingestible sensors housed in pills designed to help patients adhere to the medications their doctors prescribe. Sensor are not powered by a battery, they are powered by the gut of the patient swallowing it, using technology discovered two centuries ago. Wearable Breast Pumps - a wearable technology device typically connected to a smartphone app to monitor milk volume in real time, track pumping history for each breast and control the pump remotely. Digital Contraceptives - typically a smartphone app collecting data and an algorithm analysing data to accurately identify ovulation cycles for women. Digital Twin Technology - Healthcare is rapidly embracing digital twin technology. The goal of this trend is to deliver data-driven personalized medicine.Digital twins are built on computer-based, or in silico, models that are fed individual and population data. Lack of Evidence Blockchain - Blockchain technology applications in healthcare shows promise for solving issues such as its used in EHR distribution of data and nationwide interoperability. However, more research, trials and experiments must be carried out to ensure a secure and established system is implanted before using blockchain technology on a large scale in healthcare. Robotics - Robots are everywhere from science fiction to your local hospital, where they are changing healthcare. Robots in medicine help by relieving medical personnel from routine tasks, that take their time away from more pressing responsibilities, and by making medical procedures safer and less costly for patients. Hololens - also known as Project Baraboo, is a pair of mixed reality smartglasses developed and manufactured by Microsoft. HoloLens gained popularity for being one of the first computers running the Windows Mixed Reality platform under the Windows 10 operating system. Speech Recognition - Speech recognition is the inter-disciplinary sub-field of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition, computer speech recognition or speech to text. High Potential Secure Chat (Patient to Doctor) - enables healthcare companies to empower care providers, patients, and app users to communicate securely over messaging and therefore to receive care and advice about personal health through the convenience of their mobile devices. Remote Testing - is a form of telemedicine service, which allows constant monitoring of a patient’s condition and the performance of preventive and control check-ups outside the hospital environment. Machine Learning - Artificial Intelligence (AI), machine learning, and deep learning are taking the healthcare industry by storm. They are not pie in the sky technologies any longer; they are practical tools that can help companies optimise their service provision, improve the standard of care, generate more revenue, and decrease risk. AI Symptom Checkers - A symptom checker is a system allowing the detection of any subjective evidence of an ailment or medical condition. Subjective evidence is defined as a symptom, as only patients can discover them. The symptom checker may be run by the user/patient or with the assistance of medical personnel, as symptoms are, by definition, known to the patient only. Peak Interest TeleHealth - Telehealth involves the distribution of health-related services and information via electronic information and telecommunication technologies. It allows long distance patient/clinician contact and care, advice, reminders, education, intervention, monitoring and remote admissions. Online Triage - typically a digital platform improving patient access to healthcare, directing them to the most appropriate care, reducing the need for appointments and increasing efficiency for clinicians and administrators. Remote Monitoring - Remote patient monitoring is a technology to enable monitoring of patients outside of conventional clinical settings, which may increase access to care and decrease healthcare delivery costs. Incorporating RPM in chronic disease management can significantly improve an individual's quality of life. Connected Devices - a smart device generally connected to other devices or networks via different wireless protocols such as Bluetooth, NFC, Wi-Fi, 3G, etc., that can operate to some extent interactively and autonomously. Previous Digital Health Hype Circles can be found by clicking on the links below .. 2017 - https://www.healthcare.digital/single-post/2017/09/17/The-Digital-Health-Hype-Cycle-2017 2018 - https://www.healthcare.digital/single-post/2018/02/20/The-Digital-Health-Hype-Cycle-2018 2019 - https://www.healthcare.digital/single-post/2019/01/12/The-Digital-Health-Hype-Cycle-2019 2020 - https://www.healthcare.digital/single-post/2020/01/29/Digital-Health-Hype-Cycle-2020 2021 - https://www.healthcare.digital/single-post/digital-health-hype-cycle-2021

For the fourth year in a row I would like to share my thoughts on what I see as the cutting edge, emerging, developing and mature technologies from around the digital health world visualised in a "Digital Health Hype Circle 2020" infographic. Early Success Panomics – Panomics refers to the range of molecular biology technologies including genomics, proteomics, metabolomics, transcriptomics, and so forth, or the integration of their combined use. Systems biology approaches are often based upon the use of panomic analysis data Neural Implants – Neural implants are used for deep brain stimulation, vagus nerve stimulation, and mind-controlled prostheses. A neural implant is a device placed inside the body that interacts with neurons. Neurons are cells that communicate in the language of electricity. They fire electrical impulses in particular patterns, kind of like Morse code. An implant is a human-made device that is placed inside the body via surgery or an injection. Technical Wellness – Once upon a time, one could jump in the bath or sniff some lavender oil and call it wellness. And though both of those options still obviously fall firmly within the wellness spectrum, technical wellness is twisting the action of taking care of oneself and accentuating it with a little high-tech drama. DNA Infused Jewellery – DNA-infused jewellery features semi-precious stones, beads and custom rings that can be made from sterling silver or 10k white or yellow gold. The unique jewelry pieces feature encased DNA crystals within aerospace resin in the color of a consumer's choosing. Social Isolation Tech – Social isolation technology aims to address the complex and usually unpleasant emotional responses to isolation. Social isolation technology typically includes anxious feelings about a lack of connection or communication with other beings, both in the present and extending into the future. Health Monitoring Tattoo’s - Tiny patches on health monitoring tattoo’s can measure electrophysiological parameters and allow healthcare experts to monitor and diagnose critical health conditions such as heart arrhythmia, sleep disorders and brain activities noninvasively. Carbon Dioxide Bracelets – Made from atmospheric carbon, carbon dioxide bracelets contain carbon dioxide captured from the air and converted into solid form. Sony mSafety Watch – Sony has entered the Digital Health market with a remote monitoring wearable device called mSafety. The product is a wristwatch designed to capture and track patient data such as blood pressure, blood sugar and heart rate continuously. Smart Fabric Health Glove – The Apple smart fabric health glove primarily integrates smart fabrics with integrated circuity and force sensors. The glove works in conjunction with an Apple device like Apple Watch or iPhone. Specialty sensors within the glove include ablood pressure sensor, a respiration sensor and heart rate sensor. Google Deepmind’s Project Sideways – Most machine learning neural nets during their training phase use a forward pass, a transmission of a signal through layers of the network, followed by backpropagation, a backward pass through the same layers, only in reverse, to gradually modify the weights of a neural network till they're just right. Sideways is an alternative to that traditional rule for performing the forward and backward passes. Decelerating Adoption AI Powered Predictive Healthcare – artificial intelligence-powered predictive healthcare networks will help reduce wait times for patients and improve staff workflows. In the case of areas such as surgery and diagnosis, surgeons will trust AI more to augment their skills for surgery as well as diagnosis. AI will help doctors and clinicians learn from every patient, every diagnosis, and every procedure. This will improve health outcomes, reduce clinician shortages and also, allow the system to be financially sustainable. Facebook’s Preventive Health Tool – Preventive Health is a new tool on Facebook that connects people to health resources and checkup recommendations from leading health organizations. Robotic Process Automation – RPA is a digital worker, which has received the CE mark for medical devices. It automates computer-based knowledge work processes, carrying out the same computer tasks that a human would, but undertaken by a software robot instead. Haptic Technology – Haptic technology or kinesthetic communication recreates the sense of touch by applying forces, vibrations, or motions to the user. Longevity and Age Tech - companies and researchers focused on longevity are looking at bodily processes at the cellular level to see how aging progresses and trying to find the right drugs, treatments, and vitamins that might slow these processes down. Lack of Evidence Swallowable Tech – typically ingestible sensors housed in pills designed to help patients adhere to the medications their doctors prescribe. Sensor are not powered by a battery, they are powered by the gut of the patient swallowing it, using technology discovered two centuries ago. Digital Twin – Healthcare is rapidly embracing digital twin technology. The goal of this trend is to deliver data-driven personalized medicine. Digital twins are built on computer-based, or in silico, models that are fed individual and population data. BioHacking – Biohacking is a fairly new practice that could lead to major changes in our life. You could it call citizen or do-it-your-self biology. It takes place in small labs, mostly non-university — where all sorts of people get together to explore biology IBM Watson Health – IBM Watson Health solutions are designed to augment human expertise and improve clinical and operational workflows. IBM Watson Health's deep industry expertise, data and analytics, and actionable insights are underpinned by security and trust. Blockchain in Healthcare - Blockchain technology applications in healthcare shows promise for solving issues such as its used in EHR distribution of data and nationwide interoperability. However, more research, trials and experiments must be carried out to ensure a secure and established system is implanted before using blockchain technology on a large scale in healthcare. High Potential Asynchronous Messaging – Asynchronous communications technologies such as messaging, voicemail and email fulfils the initiator's need for immediate task completion without generating an interrupt for the recipient. Personal Health Records – A personal health record (PHR) is a digital tool enabling individuals to manage and maintain their own healthcare, recording their own data, communicating with care services and accessing record. Remote IOT Monitoring – involves collecting data from assets, and using that data to trigger automatic alerts and actions, such as remote diagnostics, maintenance requests, and other operational processes. Conversational AI – Conversational AI refers to the use of messaging apps, speech-based assistants and chatbots to automate communication and create personalised customer experiences at scale. Peak Interest Remote Testing – remote testing allows the healthcare practitioners to identify the nature of illnesses or any other problems outside the conventional healthcare settings such as at home or in the work place. It is primarily employed in combating dementia, falls, diabetes, congestive heart failures, and infertility alongside several other medical conditions that require in-depth attention and prompt responses. Machine Learning – Artificial Intelligence (AI), machine learning, and deep learning are taking the healthcare industry by storm. They are not pie in the sky technologies any longer; they are practical tools that can help companies optimise their service provision, improve the standard of care, generate more revenue, and decrease risk. Online Symptom Checkers – A symptom checker is a system allowing the detection of any subjective evidence of an ailment or medical condition. Subjective evidence is defined as a symptom, as only patients can discover them. The symptom checker may be run by the user/patient or with the assistance of medical personnel, as symptoms are, by definition, known to the patient only. Image Recognition – A common application of deep learning in healthcare is image recognition of potentially cancerous lesions in radiology images. Deep learning is increasingly being applied to radiomics, or the detection of clinically relevant features in imaging data beyond what can be perceived by the human eye. Both radiomics and deep learning are most commonly found in oncology-oriented image analysis. Their combination appears to promise greater accuracy in diagnosis than the previous generation of automated tools for image analysis, known as computer-aided detection or CAD Online Therapy - At its core, online therapy’s objective is similar to that of brick-and-mortar therapy: provide tools, solutions, and ways to reframe your current issues, allowing you to overcome challenges in many areas of your life. Online therapy differs, however, in that it puts therapy in the palm of you hand and enables you to share your thoughts and challenges anytime you wish. Previous Digital Health Hype Circles can be found by clicking on the links below .. 2017 - https://www.healthcare.digital/single-post/2017/09/17/The-Digital-Health-Hype-Cycle-2017 2018 - https://www.healthcare.digital/single-post/2018/02/20/The-Digital-Health-Hype-Cycle-2018 2019 - https://www.healthcare.digital/single-post/2019/01/12/The-Digital-Health-Hype-Cycle-2019 2020 - https://www.healthcare.digital/single-post/2020/01/29/Digital-Health-Hype-Cycle-2020 2021 - https://www.healthcare.digital/single-post/digital-health-hype-cycle-2021

Virtual Wards: A New Frontier in Healthcare Delivery The healthcare industry has undergone significant changes in recent years, with a focus on reducing costs and improving outcomes. One promising model that has emerged is the virtual ward, which provides proactive and coordinated care to patients with complex or chronic conditions. In this model, patients are monitored and managed remotely by healthcare professionals, typically in their own homes. Virtual wards have been shown to be effective in reducing hospital admissions and readmissions, improving patient outcomes, and reducing healthcare costs. What Level of Care is Provided by Virtual Wards? In a virtual ward, patients are typically monitored through a combination of remote monitoring technology, such as wearable devices and sensors, and regular communication with healthcare professionals, such as nurses and doctors. Healthcare professionals monitor patient data and provide support and interventions as needed to prevent deterioration of the patient's condition and avoid unnecessary hospitalisations. Virtual wards are typically staffed by multidisciplinary teams of healthcare professionals, including nurses, physicians, and other specialists, who work together to manage patients' care. These teams may also include social workers, care coordinators, and other support staff. Virtual wards have been shown to be effective in reducing hospital admissions and readmissions, improving patient outcomes, and reducing healthcare costs. They may be particularly beneficial for patients with chronic or complex conditions, elderly patients, and patients who live in rural or remote areas. What is the Future of Virtual Wards? The future of virtual wards in healthcare is likely to be very promising. As healthcare systems face increasing pressure to reduce costs while improving outcomes, virtual wards offer a cost-effective solution that can help reduce hospital admissions and readmissions. They also offer the potential for more personalised and patient-centered care, which can lead to better health outcomes. In the coming years, we can expect to see virtual wards become more common, as healthcare providers and policymakers recognise their potential benefits. There may also be advances in the technology used to support virtual wards, such as more sophisticated monitoring devices and artificial intelligence algorithms that can help predict and prevent health problems before they occur. However, it is important to note that virtual wards are not a panacea for all healthcare challenges. There are still many patients who require in-person care and support, and virtual wards may not be appropriate for all conditions or situations. As such, virtual wards should be seen as a complementary approach to traditional healthcare, rather than a replacement. What are the Challenges of Virtual Wards? While virtual wards have the potential to improve healthcare outcomes and reduce costs, there are also several challenges that need to be addressed in order for them to be successful. Some of these challenges include: · Technology barriers: One of the biggest challenges of virtual wards is ensuring that patients have access to the necessary technology to participate in remote monitoring and care. This can include things like reliable internet access, monitoring devices, and software. · Privacy and security concerns: Virtual wards involve collecting and sharing patient health data electronically, which raises privacy and security concerns. It is important to ensure that appropriate safeguards are in place to protect patient information. · Health equity: There is a risk that virtual wards may widen health inequalities if some patients do not have access to the technology or support they need to participate. It is important to ensure that virtual ward programs are designed with health equity in mind. · Staff training and support: Healthcare providers who work in virtual wards may require additional training and support to adapt to remote care models. This can include training on the use of technology and communication skills. · Clinical complexity: Not all patients are suitable for virtual ward care, particularly those with complex medical needs or who require hands-on interventions. Careful patient selection is necessary to ensure that virtual ward care is appropriate and safe. · Payment models: The current payment models in healthcare may not be set up to support virtual ward care. There may need to be changes to payment structures and reimbursement models to incentivise the adoption of virtual ward care. Overall, addressing these challenges will be critical for the successful implementation of virtual ward programs and ensuring that they are able to deliver high-quality, cost-effective care to patients. What Evidence Is There That Virtual Wards Will Work? There is growing evidence to suggest that virtual wards can be effective in improving healthcare outcomes and reducing costs. Here are some examples: · Reduced hospital admissions: Studies have shown that virtual wards can help reduce hospital admissions, particularly for patients with chronic conditions who are at high risk of hospitalisation. For example, a 2017 study found that a virtual ward program in the UK reduced hospital admissions by 45% among patients with chronic obstructive pulmonary disease (COPD). · Improved patient outcomes: Virtual wards can also lead to improved patient outcomes, such as better disease management and quality of life. For example, a 2019 study found that a virtual ward program in Australia improved outcomes for patients with heart failure, including reducing hospital readmissions and improving self-care behaviors. · Cost savings: Virtual wards can be a cost-effective way to provide care, particularly for patients with chronic conditions who require frequent monitoring and support. A 2019 study found that a virtual ward program in the US saved an average of $2,819 per patient over a six-month period compared to usual care. · Patient satisfaction: Patients who participate in virtual ward programs often report high levels of satisfaction with the care they receive. For example, a 2018 study found that patients who participated in a virtual ward program in the UK were highly satisfied with the care they received and felt that the program had improved their quality of life. While more research is needed to fully understand the impact of virtual wards on healthcare outcomes, the existing evidence suggests that they have the potential to be an effective and cost-efficient way to deliver care, particularly for patients with chronic conditions. What are the Potential Negative Consequences of Virtual Wards While virtual wards have the potential to improve healthcare outcomes and reduce costs, there are also potential negative consequences that need to be considered. Some of these include: · Isolation: Virtual wards may exacerbate social isolation and loneliness for patients who do not have regular contact with healthcare professionals or caregivers. This can be particularly concerning for elderly or vulnerable patients who may already be socially isolated. · Limited access to hands-on care: Virtual wards rely on remote monitoring and support, which may not be sufficient for patients who require hands-on care. This can lead to delays in diagnosis or treatment and may result in poorer health outcomes. · Privacy and security concerns: As virtual wards involve collecting and sharing patient health data electronically, there is a risk of privacy breaches and security breaches. It is important to ensure that appropriate safeguards are in place to protect patient information. · Limited availability of technology: Virtual wards may not be accessible to all patients, particularly those who do not have access to the necessary technology or who do not feel comfortable using technology. This can result in disparities in access to care. · Staff workload: Implementing virtual wards can increase the workload of healthcare professionals, particularly in terms of monitoring patient data and responding to alerts. This can be particularly challenging for healthcare systems that are already understaffed or overburdened. · Unintended consequences: Like any healthcare intervention, virtual wards may have unintended consequences. For example, a virtual ward program may lead to increased reliance on healthcare technology, which could have unintended effects on patient-provider relationships and patient autonomy. It is important to carefully consider these potential negative consequences when implementing virtual ward programs and to develop strategies to mitigate any potential risks. What Type of Patients are Best Suited to Virtual Wards? Virtual wards can be beneficial for a wide range of patients, but there are certain groups that may be particularly well-suited to this type of care. These include: · Patients with chronic conditions: Patients with chronic conditions, such as heart failure, COPD, and diabetes, may benefit from virtual ward care as it can help them manage their conditions more effectively and reduce the need for hospitalisation. · Elderly patients: Virtual ward care may be particularly beneficial for elderly patients who may have difficulty travelling to medical appointments or who require frequent monitoring and support. · Rural and remote populations: Virtual ward care may be an effective way to provide care to patients who live in rural or remote areas and who may have limited access to healthcare services. · Patients with mental health conditions: Virtual ward care may be beneficial for patients with mental health conditions, such as depression or anxiety, as it can provide them with regular support and monitoring. · Patients with limited mobility: Virtual ward care may be beneficial for patients with limited mobility who may have difficulty travelling to medical appointments or who require frequent monitoring and support. · Patients who require frequent monitoring: Virtual ward care may be beneficial for patients who require frequent monitoring, such as patients with high blood pressure or patients who are recovering from surgery. Overall, virtual wards can be beneficial for a wide range of patients, but it is important to carefully consider patient needs and suitability when implementing virtual ward programs. What Companies are Best Positioned to Take Advantage of Virtual Wards? There are a number of companies that are currently involved in providing virtual ward services, or that could potentially benefit from the growth of this sector. Here are some examples: · Telemedicine providers: Telemedicine companies such as Teladoc Health, Amwell, and Doctor on Demand are well-positioned to offer virtual ward services, as they have experience in delivering remote care and have established technology platforms that can be adapted for virtual ward care. · Health insurance companies: Health insurance companies, such as UnitedHealth Group and Anthem, are also well-positioned to take advantage of virtual wards as they have the ability to partner with healthcare providers to offer virtual ward services to their members. · Home health providers: Home health providers, such as Amedisys and LHC Group, may also be well-positioned to offer virtual ward services as they have experience in delivering home-based care and could potentially integrate virtual ward care into their existing service offerings. · Medical device companies: Medical device companies, such as Philips and Medtronic, may also benefit from the growth of virtual ward services, as they could provide the remote monitoring and diagnostic tools needed for virtual ward care. · Electronic health record (EHR) providers: EHR providers, such as Cerner and Epic, could also benefit from the growth of virtual ward services, as they could provide the technology platforms needed to manage patient data and facilitate communication between healthcare providers. It is worth noting that the virtual ward market is still in its early stages and it is unclear which companies will emerge as the dominant players. However, companies with experience in delivering remote care, home-based care, medical devices, and healthcare technology are well-positioned to take advantage of the growing demand for virtual ward services. Other Services That Could Be Combined With Virtual Wards Virtual wards are designed to provide comprehensive and coordinated care to patients and can be combined with a range of other healthcare services to further improve patient outcomes such as: Telemedicine: Telemedicine services can be integrated with virtual wards to provide remote consultations with healthcare professionals. This can allow patients to receive timely medical advice and support without needing to travel to a healthcare facility. Home health services: Home health services, such as nursing care, physical therapy, and occupational therapy, can be provided alongside virtual wards to provide patients with a comprehensive range of care services in their own homes. Chronic disease management: Virtual wards can be used as part of a broader chronic disease management program, which may include education and support for patients, regular monitoring of their condition, and proactive interventions to prevent complications. Medication management: Medication management services, such as medication reconciliation, medication reviews, and medication adherence support, can be provided alongside virtual wards to help patients manage their medications effectively and avoid medication-related problems. Care coordination: Care coordination services can be provided alongside virtual wards to ensure that patients receive coordinated care across different healthcare settings and from different healthcare providers. Overall, virtual wards can be combined with a range of other healthcare services to provide patients with a comprehensive and coordinated approach to care. By combining different services, healthcare providers can improve patient outcomes, reduce healthcare costs, and improve the patient experience. Conclusion Virtual wards represent a new frontier in healthcare delivery, offering a cost-effective and patient-centred approach to care. By reducing hospital admissions and readmissions, improving patient outcomes, and reducing healthcare costs, virtual wards have the potential to transform the healthcare industry. However, addressing the challenges and potential negative consequences of virtual wards will be critical for their successful implementation. Virtual wards should be seen as a complementary approach to traditional healthcare, rather than a replacement, and must be designed with health equity in mind to ensure that all patients have access to high-quality care. With careful planning and implementation, virtual wards have the potential to revolutionise healthcare delivery and improve the lives of patients. Thoughts, comments? Tweet @lloydgprice, or email lloyd@healthcare.digital and let's start a conversation :)

Deep packet inspection (DPI) is a technique used in cybersecurity to examine and analyze the contents of network packets that are transmitted over a network. DPI allows network administrators to identify the type of traffic that is being transmitted, such as web traffic, email traffic, or file transfers, and to block or prioritize traffic based on its content. In the context of cybersecurity, DPI is used to detect and prevent malicious traffic that may be attempting to penetrate a network or steal sensitive information. For example, DPI can be used to identify and block traffic that contains malware, viruses, or other types of malicious code. It can also be used to detect and block attempts to exploit known vulnerabilities in network software and hardware. DPI can also be used to enforce security policies and regulations within an organization. For example, an organization may use DPI to monitor employee internet usage and ensure that employees are not accessing prohibited websites or engaging in other unauthorized activities. Overall, DPI plays an important role in cybersecurity by providing network administrators with the ability to detect and prevent a wide range of security threats, and to enforce security policies and regulations within an organization. How successful is deep packet inspection in cyber security? The success of deep packet inspection (DPI) in cybersecurity depends on various factors such as the capabilities of the DPI technology used, the accuracy of the detection algorithms, and the level of expertise and resources available to network administrators. When implemented properly, DPI can be very effective in detecting and preventing a wide range of security threats, including malware, viruses, phishing attacks, and other types of cyber attacks. DPI can also be used to identify and block unauthorized access attempts, prevent data leaks, and enforce security policies and regulations within an organization. However, it is important to note that DPI can also have limitations and drawbacks. For example, DPI can be resource-intensive and may cause latency issues on high-speed networks. It can also be prone to false positives and false negatives, which can lead to unnecessary blocking or missed detections. Furthermore, some applications and services may use encryption or other techniques to bypass DPI, making it difficult to detect and prevent certain types of threats. Additionally, DPI can raise privacy concerns since it involves inspecting the content of network packets, which can potentially reveal sensitive information. Overall, while deep packet inspection can be an effective tool in cybersecurity, it is important to carefully consider its benefits and limitations and to implement it in a way that balances security needs with privacy and performance concerns. What are the advantages of deep packet inspection in cyber security? Deep packet inspection (DPI) has several advantages in cybersecurity: Enhanced Threat Detection: DPI allows for more thorough and accurate threat detection compared to traditional methods of network security. By examining the contents of each packet that passes through a network, DPI can detect sophisticated attacks such as zero-day exploits, Advanced Persistent Threats (APTs), and polymorphic malware that may be missed by other security measures. Precise Filtering: DPI enables precise filtering of network traffic based on the contents of packets. This allows network administrators to block or prioritize specific types of traffic, such as peer-to-peer file sharing, instant messaging, or streaming media. This can help to reduce bandwidth congestion and improve network performance. Compliance and Regulation: DPI can help organizations to comply with industry regulations and standards, such as the Payment Card Industry Data Security Standard (PCI DSS) or the Health Insurance Portability and Accountability Act (HIPAA). By inspecting network traffic, DPI can ensure that sensitive data is not transmitted in violation of these regulations. Improved Network Performance: By filtering and prioritizing network traffic, DPI can help to improve network performance and reduce latency. This can be particularly beneficial in high-traffic environments such as enterprise networks or service provider networks. Granular Policy Enforcement: DPI allows for granular policy enforcement, which can help organizations to enforce security policies and prevent unauthorized access or data leakage. For example, DPI can be used to enforce policies that prohibit access to certain websites or that block the transmission of sensitive data. Overall, DPI is an effective tool for improving network security and performance, and can help organizations to comply with regulations and enforce security policies. What are the disadvantages of deep packet inspection in cyber security? While deep packet inspection (DPI) has several advantages in cybersecurity, it also has some disadvantages: Resource-Intensive: DPI can be resource-intensive, which can cause latency issues on high-speed networks. The processing of each packet requires significant computing power and memory, which can slow down network traffic and reduce overall network performance. Encryption Bypass: Some applications and services use encryption or other techniques to bypass DPI, making it difficult to detect and prevent certain types of threats. This can include encrypted traffic from virtual private networks (VPNs) or encrypted communications from legitimate applications. False Positives and Negatives: DPI can be prone to false positives and false negatives, which can lead to unnecessary blocking or missed detections. This can be particularly problematic in situations where network traffic must not be interrupted, such as in critical infrastructure or emergency services. Privacy Concerns: DPI involves inspecting the contents of network packets, which can raise privacy concerns. It can potentially reveal sensitive information such as personal data or trade secrets, and may be subject to legal and regulatory restrictions. Cost: DPI technology can be expensive to implement and maintain, particularly for small and medium-sized organizations. The cost of hardware, software, and personnel required to operate and maintain DPI systems can be a barrier to adoption. Overall, while DPI can provide advanced threat detection and granular policy enforcement, organizations must carefully consider the resource and privacy implications of using this technology, and balance these with the benefits of improved network security and performance. Has deep packet inspection been successful for healthcare cyber security? Deep packet inspection (DPI) has been used in healthcare cybersecurity to detect and prevent a variety of threats, including malware, phishing, and ransomware attacks. However, the success of DPI in healthcare cybersecurity depends on several factors such as the quality of the DPI technology used, the accuracy of detection algorithms, and the level of expertise and resources available to healthcare organizations. One challenge that healthcare organizations face is the need to balance security needs with patient privacy and regulatory compliance requirements. DPI can be effective in identifying and preventing security threats, but it can also raise concerns about data privacy and compliance with regulations such as HIPAA (Health Insurance Portability and Accountability Act). Therefore, healthcare organizations must implement DPI in a way that balances these competing priorities. Despite these challenges, DPI has been successful in some healthcare settings. For example, DPI has been used to detect and prevent malware attacks on medical devices such as MRI machines and pacemakers. It has also been used to monitor and secure electronic health records (EHRs) and other sensitive data, preventing unauthorized access and data leakage. Overall, while DPI has shown promise in healthcare cybersecurity, its success depends on careful implementation and ongoing monitoring to ensure that it is providing effective protection while also respecting patient privacy and regulatory requirements. What is the future of deep packet inspection in healthcare cyber security? The future of deep packet inspection (DPI) in healthcare cybersecurity is likely to be shaped by a number of factors, including advances in technology, changes in regulations and standards, and evolving threats. Some potential areas of growth for DPI in healthcare cybersecurity include: Machine Learning and AI: DPI systems are increasingly incorporating machine learning and artificial intelligence (AI) algorithms to improve threat detection accuracy and reduce false positives. This can help to improve the effectiveness of DPI in healthcare cybersecurity. IoT and Medical Device Security: As the number of connected medical devices continues to grow, DPI is likely to play a larger role in securing these devices and preventing cyber attacks. DPI can be used to monitor and analyze network traffic from medical devices and detect anomalies or suspicious activity. Cloud Security: Many healthcare organizations are moving their data and applications to the cloud, which presents new security challenges. DPI can be used to monitor network traffic to and from cloud-based applications and services, and detect and prevent cyber attacks. Compliance and Auditing: DPI can be used to monitor and audit network traffic to ensure compliance with regulations such as HIPAA, and to detect and prevent data breaches and other security incidents. Threat Intelligence: DPI systems can be integrated with threat intelligence feeds to provide real-time threat detection and prevention. This can help healthcare organizations to stay ahead of emerging threats and reduce the risk of cyber attacks. Overall, the future of DPI in healthcare cybersecurity is likely to involve a continued focus on improving threat detection accuracy, reducing false positives, and addressing emerging security threats related to IoT, medical devices, and cloud-based services. Thoughts, comments? Tweet @lloydgprice, or email lloyd@healthcare.digital and let's start a conversation :)

What is homomorphic encryption for healthcare data? Homomorphic encryption is a type of encryption that allows computation to be performed on encrypted data without the need for decryption. In the context of healthcare data, homomorphic encryption can be used to protect patient privacy while still allowing for analysis and processing of sensitive information. When healthcare data is encrypted using homomorphic encryption, it can be securely processed by authorized parties such as healthcare providers, researchers, and insurers. This means that sensitive patient information, such as medical histories and genetic data, can be kept private and secure, while still being available for analysis and research purposes. Homomorphic encryption can be particularly useful in the healthcare industry, where there are strict regulations governing the handling and storage of patient data. By using homomorphic encryption, healthcare organizations can ensure that patient data is kept secure and confidential, while still allowing for important analysis and research to be conducted. However, it's important to note that homomorphic encryption can be computationally intensive, which can make it difficult to implement in certain healthcare applications. Nonetheless, as technology continues to advance, it's likely that homomorphic encryption will become an increasingly important tool for protecting sensitive healthcare data. What are the earliest examples of homomorphic encryption for healthcare data? Homomorphic encryption is a relatively new technology, and its application to healthcare data is still in the early stages of development. However, there have been some notable early examples of homomorphic encryption being used to protect healthcare data, including: The Bio-Cryptosystem: This was one of the earliest examples of homomorphic encryption being applied to healthcare data. It was developed in 2003 by researchers at the University of Texas at Dallas and was designed to protect the privacy of genetic data. The Bio-Cryptosystem used a homomorphic encryption technique called the Paillier cryptosystem to encrypt the genetic data while still allowing for computations to be performed on the encrypted data. The CryptDB system: While not specifically developed for healthcare data, the CryptDB system was designed to provide database security by using a homomorphic encryption technique. It was developed by researchers at MIT in 2011 and used homomorphic encryption to protect sensitive data stored in a database. The HEAT project: This project, which was funded by the European Commission, was launched in 2013 and focused on developing homomorphic encryption techniques for secure data processing in healthcare applications. The project developed a prototype system that used homomorphic encryption to protect medical data while still allowing for computations to be performed on the encrypted data. Overall, these early examples demonstrate the potential of homomorphic encryption for protecting sensitive healthcare data. As technology continues to advance, it's likely that we will see more sophisticated applications of homomorphic encryption in healthcare, particularly as the need for secure data processing and sharing continues to grow. Has the NHS used homomorphic encryption for healthcare data? To the best of my knowledge, there is no public information indicating that the UK National Health Service (NHS) has used homomorphic encryption for healthcare data. However, the NHS has been exploring and adopting various other encryption technologies to protect patient data, such as end-to-end encryption for messaging apps and encryption for laptops and mobile devices. The NHS also follows strict data protection laws, including the General Data Protection Regulation (GDPR) and the Data Protection Act 2018, to ensure the security and privacy of patient data. That being said, the adoption of homomorphic encryption by the NHS or any other healthcare organization is still in its early stages due to the computational complexity and other limitations associated with the technology. However, as the technology continues to evolve and become more accessible, it's possible that we may see healthcare organizations like the NHS explore the use of homomorphic encryption in the future. What are the advantages of homomorphic encryption for healthcare data? Homomorphic encryption offers several advantages for healthcare data, including: Improved privacy: Homomorphic encryption can help protect patient privacy by ensuring that sensitive data remains encrypted, even when it's being processed. This can be particularly important for healthcare organizations that need to comply with regulations such as HIPAA and GDPR. Secure data sharing: Homomorphic encryption can enable secure data sharing among healthcare providers, researchers, and insurers without the need to decrypt the data. This can facilitate collaboration and improve the speed and accuracy of medical research and treatment. Data analysis: Homomorphic encryption allows for secure data analysis without the need to decrypt the data. This can enable healthcare organizations to gain insights into patient data while still protecting patient privacy. Protection against cyber attacks: Homomorphic encryption can help protect against cyber attacks by ensuring that sensitive data remains encrypted even if it is intercepted by hackers. Trust: Homomorphic encryption can increase trust in healthcare organizations by demonstrating a commitment to protecting patient privacy and data security. Overall, homomorphic encryption is a promising technology for protecting sensitive healthcare data while still allowing for important analysis and processing. However, it's important to note that homomorphic encryption can be computationally intensive, which can make it challenging to implement in some applications. What are the disadvantages of homomorphic encryption for healthcare data? While homomorphic encryption offers several advantages for healthcare data, there are also some potential disadvantages to consider: Computational complexity: Homomorphic encryption can be computationally intensive, which can result in slower processing times and higher resource requirements. This can be challenging for healthcare organizations that need to process large amounts of data quickly. Limited functionality: Homomorphic encryption is still a relatively new technology, and it has some limitations in terms of the types of computations that can be performed on encrypted data. This can make it challenging to implement in some healthcare applications. Key management: Homomorphic encryption requires the use of encryption keys, which must be carefully managed to ensure the security of the encrypted data. Key management can be complex, and if the keys are compromised, the encrypted data can be at risk. Cost: Homomorphic encryption can be expensive to implement, particularly for healthcare organizations that need to process large amounts of data. The cost of hardware and software needed to implement homomorphic encryption can be high. Expertise: Homomorphic encryption is a complex technology that requires expertise to implement and maintain. Healthcare organizations may need to invest in training and hiring staff with specialized skills in order to successfully implement homomorphic encryption. Overall, while homomorphic encryption holds promise for protecting sensitive healthcare data, it's important to carefully consider the potential disadvantages before implementing this technology. Healthcare organizations should weigh the benefits and costs of homomorphic encryption and assess whether it is the right solution for their specific needs. What is the future of homomorphic encryption in healthcare? Homomorphic encryption has the potential to play a significant role in the future of healthcare, particularly as healthcare organizations continue to grapple with the challenges of protecting sensitive patient data while still allowing for analysis and processing. Here are some potential areas where homomorphic encryption may be used in healthcare in the future: Secure data sharing: Homomorphic encryption can enable secure data sharing among healthcare providers, researchers, and insurers without the need to decrypt the data. This can facilitate collaboration and improve the speed and accuracy of medical research and treatment. Health data analytics: Homomorphic encryption can be used to enable secure health data analytics, allowing researchers and healthcare organizations to gain insights into patient data while still protecting patient privacy. Medical imaging: Homomorphic encryption can be used to protect medical images, such as X-rays and MRIs, while still allowing for important diagnostic analysis. Genetic data protection: Homomorphic encryption can be used to protect genetic data, which is particularly sensitive and has implications for not just the individual but their family members as well. Telehealth: As telehealth continues to grow, homomorphic encryption can be used to secure patient data and communications between healthcare providers and patients. Blockchain: Homomorphic encryption can also be used in combination with blockchain technology to secure healthcare data and ensure the integrity of medical records. Overall, homomorphic encryption is a promising technology for protecting sensitive healthcare data while still allowing for important analysis and processing. As technology continues to advance, it's likely that we will see more sophisticated applications of homomorphic encryption in healthcare in the future. Thoughts, comments? Tweet @lloydgprice, or email lloyd@healthcare.digital and let's start a conversation :)

Exec Summary: Will Salesforce succeed in Healthcare where other Big Tech companies failed? It's difficult to say for certain whether Salesforce will succeed in healthcare where other big tech companies have struggled in the past. However, Salesforce has several advantages that could help it succeed where others have failed: A proven track record in other industries: Salesforce has a proven track record of success in other industries, including finance, retail, and manufacturing. The company has established itself as a leader in customer relationship management (CRM) software and has a strong reputation for delivering innovative solutions that meet the needs of its customers. A deep understanding of healthcare: Salesforce has made a significant investment in healthcare and has developed a deep understanding of the industry and its challenges. The company has a dedicated healthcare team and has formed partnerships with leading healthcare organizations to gain insights into the needs and challenges of healthcare providers. A focus on interoperability: Salesforce is focused on promoting data interoperability in healthcare, which is a critical challenge facing the industry. By developing solutions that can help healthcare systems share and exchange data more easily, Salesforce could help address one of the biggest barriers to innovation in healthcare. A commitment to innovation: Salesforce is committed to innovation and has a strong culture of experimentation and continuous improvement. The company is continually developing new products and features and is not afraid to pivot its strategy if it sees an opportunity to better serve its customers. Overall, while there are no guarantees in healthcare or in any industry, Salesforce's track record of success, deep understanding of healthcare, focus on interoperability, and commitment to innovation could position it for success in healthcare where other big tech companies have struggled. Why is salesforce interested in healthcare? Salesforce, a leading customer relationship management (CRM) software company, is interested in healthcare for several reasons: The healthcare industry is a large and growing market: The healthcare industry is one of the largest and fastest-growing industries in the world. By some estimates, the global healthcare market is expected to reach over $10 trillion by 2022. This presents a significant opportunity for companies like Salesforce to tap into this market and grow their business. Healthcare organizations need better tools to manage patient data: Healthcare organizations deal with large amounts of data on a daily basis, including patient data, medical records, and billing information. Salesforce offers a range of CRM tools that can help healthcare organizations manage this data more effectively and improve patient outcomes. There is a need for better patient engagement and communication: Healthcare organizations are increasingly focused on improving patient engagement and communication. Salesforce's CRM tools can help healthcare organizations communicate more effectively with patients, manage appointments and follow-up care, and provide personalized health advice and guidance. Salesforce has a strong track record in other industries: Salesforce has a proven track record of success in other industries, including finance, retail, and manufacturing. By leveraging their expertise and experience in these industries, Salesforce can bring innovative solutions to the healthcare industry and help drive innovation and growth. What are salesforce's plans in healthcare? Salesforce has several plans in healthcare, including: Expanding its healthcare offerings: Salesforce is continually expanding its healthcare offerings and has developed a range of products specifically designed for healthcare organizations. These products include Salesforce Health Cloud, which helps healthcare providers manage patient data and improve patient outcomes, and Salesforce Care, which provides tools for patient engagement and communication. Partnering with healthcare organizations: Salesforce has partnerships with a number of healthcare organizations, including Cleveland Clinic, Humana, and Kaiser Permanente. These partnerships allow Salesforce to collaborate with healthcare providers and gain insights into their needs and challenges. Investing in healthcare startups: Salesforce has a venture arm called Salesforce Ventures, which invests in startups that are developing innovative healthcare solutions. This allows Salesforce to support the development of new healthcare technologies and potentially integrate these solutions into its own offerings. Focusing on data interoperability: Salesforce is focused on promoting data interoperability in healthcare, which refers to the ability of different healthcare systems to share and exchange data. Salesforce is working to develop solutions that can help healthcare organizations achieve interoperability, which can improve patient outcomes and reduce healthcare costs. Overall, Salesforce is committed to expanding its presence in healthcare and helping healthcare organizations improve patient outcomes and efficiency through the use of innovative technology solutions. What does salesforce offer hospitals and health systems? Salesforce offers a range of solutions for hospitals and healthcare organizations, including: Health Cloud: Salesforce Health Cloud is a cloud-based platform designed specifically for healthcare providers. It allows hospitals to manage patient data, appointments, care plans, and communication with patients all in one place. Health Cloud also includes features like patient engagement tools, analytics, and AI-powered insights to help hospitals improve patient outcomes and efficiency. Service Cloud: Salesforce Service Cloud is a customer service platform that allows hospitals to manage patient inquiries and support requests. With Service Cloud, hospitals can provide personalized support to patients through multiple channels, including phone, email, social media, and chat. Marketing Cloud: Salesforce Marketing Cloud allows hospitals to create personalized marketing campaigns and communications to engage with patients and promote their services. It includes features like email marketing, social media management, and analytics to help hospitals target the right audience and measure the effectiveness of their campaigns. Salesforce Care: Salesforce Care is a suite of tools designed to improve patient engagement and communication. It includes features like patient portals, appointment scheduling, telehealth capabilities, and mobile messaging to help hospitals provide convenient and accessible care to patients. Overall, Salesforce offers hospitals a range of solutions to help them manage patient data, improve patient outcomes, and provide personalized care and support to their patients. These solutions can help hospitals streamline their operations, improve patient satisfaction, and ultimately deliver better care. How is Salesforce Health Cloud Useful? Salesforce Health Cloud is a cloud-based platform that is specifically designed for healthcare providers, and it offers a range of features that can be useful for healthcare organizations. Here are some ways that Health Cloud can be useful: Centralized patient data management: Health Cloud provides healthcare providers with a centralized platform for managing patient data. This includes patient records, care plans, medication lists, and more. With all of this information in one place, healthcare providers can make more informed decisions and provide more personalized care to their patients. Patient engagement tools: Health Cloud includes a range of patient engagement tools, including patient portals, messaging, and mobile apps. These tools allow patients to access their health information, communicate with their healthcare providers, and manage their care more easily. Care coordination: Health Cloud includes features that can help healthcare providers coordinate care across different providers and care settings. This can include tracking patient referrals, scheduling appointments, and sharing information securely between providers. Analytics and reporting: Health Cloud includes powerful analytics and reporting tools that allow healthcare providers to track key metrics and identify trends in patient outcomes. This can help healthcare providers identify areas where they can improve care and optimize their operations. Overall, Salesforce Health Cloud can be useful for healthcare providers in a variety of ways. It allows them to manage patient data more efficiently, engage with patients more effectively, coordinate care more easily, and analyze data to improve outcomes. By providing a comprehensive platform for managing patient care, Health Cloud can help healthcare providers deliver better care and improve patient outcomes. Salesforce and the home: Why the big push into home health? Amit Khanna, Salesforce’s senior vice president and general manager of healthcare and life sciences, said the company is bullish on home health because it's what consumers want and it decreases the overall cost of care. “Home health needs a lot of things [customer relationship managemnet] offers. It needs relationships. It needs operations. It needs efficiency. It needs intelligence. And then obviously care at home. This fits right into the DNA of our company,” said Khanna, who added the company views its system as complementary to the EHR. “We are not the system to provide care at the point of care inside hospitals.” Khanna sees an opportunity in the home health space for technology focused on customer relationship management. Home Health capabilities include allowing non-clinical employees to access certain data from the EHR to aid scheduling. It also added the ability to streamline a scheduler's ability to convert prior authorizations into scheduled visits based on patient's availability and overall preferences. Another new product the company added as a part of the launch is Data Cloud for Healthcare, which will allows providers and life science organizations to connect clinical and non-clinical patient data and fully understand the patient profile in real-time helping to pinpoint things like potential risks, determine therapeutic approaches, and educate patients with personalized communication. Source: https://digitalhealth.modernhealthcare.com/digital-health/salesforce-rolls-out-new-home-health-software?utm_source=the-digital-health-deal&utm_medium=email&utm_campaign=20230414&utm_content=article1-headline Summary: Salesforce has made several moves into the home health market in recent years. Here are some examples of Salesforce's plans for home health: Partnership with Brightree: In 2019, Salesforce announced a partnership with Brightree, a provider of cloud-based software for the home health and hospice industry. Through this partnership, Salesforce and Brightree are working together to develop new solutions to help home health providers manage patient care more effectively. Acquisition of Vlocity: In 2020, Salesforce acquired Vlocity, a provider of cloud-based software for the insurance and healthcare industries. Vlocity has a strong focus on the home health market and offers solutions for managing home health visits and coordinating care between providers. Home health-specific features in Health Cloud: Salesforce Health Cloud includes features that are specifically designed for home health providers. These include tools for managing home health visits, tracking patient progress, and communicating with patients and their families. Overall, Salesforce sees home health as an important growth area and is investing in partnerships and acquisitions to expand its presence in this market. By developing solutions that are tailored to the unique needs of home health providers, Salesforce is positioning itself to be a leader in this growing industry. Thoughts, comments? Tweet @lloydgprice, or email lloyd@healthcare.digital and let's start a conversation :)

Exec Summary: The DTx market suffered a second big blow and company failure recently after Pear Therapeutics lost 99.28% of it's value resulting from a SPAC merger with Thimble Point Acquisition Corp in March 2021, IPO on the Nasdaq in December 2021 followed by its subsequent Chapter 11 bankruptcy filing in April 2023. Pear's decline followed in Proteus Digital Health's footsteps after the company filed for bankruptcy in June 2020 having raised over $500 million in funding, a massive $1.5 Billion valuation and loss of a development deal with Otsuka Pharmaceuticals. In addition to the two DTx bankruptcies, three other DTx companies who have gone public via mergers, SPACs and IPOs have seen their share prices collapse by between 40% and 90% as investors lose patience and ultimately confidence in the digital therapeutic narrative. However, despite these two examples of DTx bankruptcies and poor performance of DTx companies listed on the stock market in the last few years, the future of the Digital Therapeutics market still looks promising as the demand for digital interventions to prevent, manage, and treat various medical conditions continues to grow. Here are some of the key trends and opportunities that are likely to shape the future of the DTx market: Increased focus on chronic diseases: The rising prevalence of chronic diseases such as diabetes, hypertension, and cardiovascular disease is expected to drive the demand for DTx solutions that can help patients manage these conditions. Expansion of regulatory frameworks: Regulatory bodies such as the FDA and the European Commission have already approved several DTx solutions for various medical conditions. As the market grows, it is expected that more regulatory frameworks will be put in place to ensure the safety and effectiveness of DTx products. Integration with traditional healthcare: DTx solutions are expected to become an integral part of traditional healthcare, with more healthcare providers and payers integrating digital interventions into their treatment plans. Personalisation and customisation: DTx solutions are becoming increasingly personalized and customized, using data-driven insights to tailor interventions to individual patient needs. Partnership and collaboration: Healthcare providers, pharmaceutical companies, and technology companies are likely to form more partnerships and collaborations to develop and commercialize DTx solutions. Focus on mental health: DTx solutions are expected to play an increasingly important role in addressing mental health issues such as depression and anxiety, which have become more prevalent in recent years. Overall, the future of the DTx market is bright, as more patients, healthcare providers, and payers recognize the potential of digital interventions to improve health outcomes and reduce healthcare costs. With continued innovation and investment, the DTx market is poised for significant growth in the coming years. What is DTx? DTx stands for "Digital Therapeutics". It refers to a new class of medical treatment that uses digital technologies such as mobile apps, wearable devices, and software programs to prevent, manage, or treat various medical conditions. DTx aims to improve patient outcomes by providing personalized, data-driven, and evidence-based interventions that are delivered remotely through digital platforms. DTx interventions are often used to support traditional medical treatments, such as medication and therapy. For example, a DTx app may provide cognitive-behavioral therapy for individuals with depression or anxiety, or a DTx wearable device may monitor vital signs and provide feedback to individuals with cardiovascular disease. DTx interventions can be accessed by patients in their homes, at work, or on-the-go, making healthcare more convenient and accessible. DTx is a rapidly growing field, and many healthcare organizations, pharmaceutical companies, and technology companies are investing in the development and commercialization of DTx solutions. DTx has the potential to transform the way we deliver healthcare, by making it more patient-centered, data-driven, and accessible to a wider range of patients. How big is the Digital Therapeutics market? The Digital Therapeutics (DTx) market is still in its early stages but has been growing rapidly in recent years. According to a report by Grand View Research, the global Digital Therapeutics market size was valued at USD 2.2 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 21.4% from 2021 to 2028. The report also predicts that the market size could reach USD 9.4 billion by 2028. Another report by MarketsandMarkets estimates the DTx market to be worth USD 6.9 billion in 2021 and is projected to reach USD 15.6 billion by 2026, growing at a CAGR of 17.8% during the forecast period. The increasing prevalence of chronic diseases such as diabetes, obesity, and hypertension, as well as the rising adoption of smartphones, wearable devices, and other digital technologies, are some of the key factors driving the growth of the DTx market. Additionally, the COVID-19 pandemic has accelerated the adoption of telemedicine and other remote healthcare services, which has further boosted the demand for DTx solutions. Overall, the DTx market is expected to continue to grow in the coming years, as more healthcare providers, payers, and patients recognize the benefits of digital interventions in improving health outcomes and reducing healthcare costs. How have DTx companies performed on the stock market in the last few years? The short answer is not very well, digital therapeutics companies have not performed well on the stock market in the last few years due to three main reasons: the overall performance of the healthcare sector, regulatory developments and investor sentiment. Let's have a look at 5 examples of DTx companies who have gone public via mergers, SPACs and IPOs in the last few years - Pear Therapeutics, Proteus Digital Health, DarioHealth, Better Therapeutics, Livongo Health. Case Study 1: the history of Pear Therapeutics Pear Therapeutics was a leading player in the digital therapeuticsmarket, based in Boston developing DTx solutions to treat various medical conditions, including substance use disorder, opioid use disorder, schizophrenia, and multiple sclerosis. In December 2020, Pear Therapeutics announced that it had entered into a definitive agreement to merge with Thimble Point Acquisition Corp., a special purpose acquisition company (SPAC). The merger was completed in March 2021, and Pear Therapeutics became a publicly listed company on the Nasdaq stock exchange under the ticker symbol "PEAR." The merger provided Pear Therapeutics with additional funding and resources to continue its research and development efforts and expand its commercialization efforts. The company also continued to receive regulatory approvals for its DTx products, with its reSET-O product becoming the first FDA-cleared prescription digital therapeutic for the treatment of opioid use disorder in 2018. Case Study 2: the history of Proteus Digital Health Proteus Digital Health, a digital therapeutics company that developed sensor-enabled medicines, faced several challenges that led to its decline. Here are some of the factors that contributed to the company's difficulties: Limited adoption: Despite developing innovative technology, Proteus Digital Health struggled to gain widespread adoption among patients and healthcare providers. The company's sensor-enabled pills, which were designed to help patients with chronic conditions such as hypertension and diabetes, required complex technology and infrastructure, which made them challenging to implement on a large scale. Regulatory hurdles: Proteus Digital Health faced several regulatory challenges, including delays in gaining approval from the US Food and Drug Administration (FDA) for its sensor-enabled pills. The company also faced scrutiny from privacy advocates and patient advocacy groups, who raised concerns about the potential for misuse of patient data collected by the sensors. Financial troubles: Proteus Digital Health raised over $500 million in funding from investors, but the company struggled to generate revenue and achieve profitability. In 2019, the company laid off 292 employees, or about 20% of its workforce, and filed for bankruptcy in June 2020. Management issues: Proteus Digital Health faced several leadership changes over the years, including the departure of its CEO and co-founder Andrew Thompson in 2018. The company also faced several lawsuits from former executives and investors, who alleged mismanagement and breach of fiduciary duty. Overall, Proteus Digital Health faced significant challenges in bringing its innovative technology to market and achieving widespread adoption. While the company's sensor-enabled pills had the potential to revolutionize the way chronic conditions are managed, the complex technology and infrastructure required made it difficult for the company to gain traction in the market. Case Study 3: the history of DarioHealth DarioHealth has faced several challenges and changes over the years. In August 2020, DarioHealth announced that it was restructuring its operations and laying off 34% of its workforce in an effort to reduce costs and improve its financial position. The company also announced that it was moving its headquarters from Israel to New York in order to better serve its US customers and partners. In addition to these operational changes, DarioHealth has also faced several legal challenges in recent years. In 2019, the company settled a patent infringement lawsuit with a competitor, and in 2020, it settled a class action lawsuit alleging that it made false and misleading statements about the capabilities of its blood glucose monitoring system. Despite these challenges, DarioHealth has continued to provide its mobile platform and other services to patients with chronic conditions. The company has also continued to innovate and expand its offerings, recently launching a new program to provide behavioral health coaching to patients with chronic conditions. As the demand for digital health solutions continues to grow, DarioHealth may be well positioned to continue growing and evolving in this space. Case Study 4: the history of Better Therapeutics Better Therapeutics is a digital therapeutics (DTx) company developing software-based treatments for conditions such as type 2 diabetes and hypertension, was still operating and providing services to patients. In May 2021, Better Therapeutics announced that it had entered into a merger agreement with a special purpose acquisition company (SPAC) called Mountain Crest Acquisition Corp. The merger was completed in July 2021, and Better Therapeutics began trading on the Nasdaq stock exchange under the ticker symbol "BETR". The merger provided Better Therapeutics with additional funding to support its growth and development, and the company announced plans to use the proceeds to expand its commercial operations and further develop its product pipeline. Better Therapeutics' lead product candidate, BT-001, is a software-based treatment for patients with type 2 diabetes, and the company is also developing treatments for hypertension and other chronic conditions. Since going public, Better Therapeutics has continued to focus on developing and commercializing its products, and the company has announced several partnerships and collaborations with healthcare providers and other organizations. The DTx market is still relatively new and rapidly evolving, and Better Therapeutics is well positioned to continue growing and expanding its offerings as more healthcare providers and patients embrace the benefits of digital interventions. Case Study 5: the history of Livongo Health Livongo Health is a digital health company that provides personalized health management services for people with chronic conditions such as diabetes, hypertension, and behavioral health conditions. The company was founded in 2014 by Glen Tullman and other healthcare industry veterans, with the goal of using technology to improve the lives of people with chronic conditions. In its early years, Livongo focused on developing and launching its flagship product, the Livongo for Diabetes program. The program uses a combination of connected devices, software, and coaching to help people with diabetes monitor their blood glucose levels, manage their medications, and make healthier lifestyle choices. The program also includes features such as real-time alerts and personalized health insights based on the user's data. Livongo quickly gained traction in the digital health market, and in 2017 the company raised $52.5 million in a funding round led by General Catalyst and Kinnevik. The following year, Livongo expanded its offerings to include a hypertension management program, and in 2019 the company went public with an initial public offering (IPO) on the Nasdaq stock exchange. The IPO raised $355 million, and Livongo's stock price surged on the first day of trading. In 2020, Livongo announced plans to merge with Teladoc Health, a leading provider of telehealth services. The merger, which was completed later that year on the 30th October created one of the largest virtual healthcare companies in the world, with a combined market value of over $37 billion. The merged company is focused on providing a comprehensive range of virtual healthcare services, including telemedicine, digital health coaching, and personalized health management for people with chronic conditions. Since its founding, Livongo has received numerous awards and accolades for its innovative approach to healthcare, and the company's products and services have been adopted by millions of patients and healthcare providers around the world. After all the hype and now fears, what is the potential of digital therapeutics? The potential of digital therapeutics (DTx) is significant, as these interventions have the potential to revolutionize the way healthcare is delivered and improve patient outcomes. Here are some of the ways in which DTx can make an impact: Improved access to care: DTx can help to overcome geographic and logistical barriers to healthcare by providing remote and on-demand access to interventions. This can be particularly beneficial for patients living in rural or underserved areas or those who have difficulty accessing traditional healthcare services. Personalised interventions: DTx can be tailored to the specific needs of individual patients, using data-driven insights to deliver personalized interventions that are optimized for each patient's unique needs and circumstances. Lower costs: DTx can be more cost-effective than traditional healthcare interventions, particularly for chronic conditions that require ongoing management. By leveraging digital technologies, DTx can reduce the need for in-person visits and other costly healthcare services. Enhanced patient engagement: DTx can engage patients in their own care, providing real-time feedback and coaching to support behavior change and improve health outcomes. This can help to increase patient motivation and adherence to treatment plans. Integration with traditional healthcare: DTx can be integrated into traditional healthcare settings, providing a complementary approach to care that can enhance the effectiveness of existing interventions. Overall, the potential of DTx is significant, and the market for these interventions is expected to grow rapidly in the coming years as more healthcare providers and patients embrace the benefits of digital interventions. With continued innovation and investment in this field, DTx has the potential to transform the way healthcare is delivered and improve outcomes for patients around the world. Thoughts, comments? Tweet @lloydgprice, or email lloyd@healthcare.digital and let's start a conversation :)