Digital Health

Google’s vision for digital health: Leveraging AI for groundbreaking personal health insights

Google Health is setting a new benchmark in healthcare technology with its ambitious roadmap for 2024, focusing on the transformative potential of generative AI in enhancing clinical decision-making, understanding laboratory and imaging data, detecting diseases at an early stage, and offering customised health coaching based on user Fitbit data.

During the annual The Check Up event at Google’s Pier 57 office in Manhattan, key executives from the tech behemoth unveiled significant progress and updates on a range of leading-edge AI initiatives. The spotlight was on refining the Gemini model for healthcare applications, creating a bespoke health-centric large language model (LLM) for the Fitbit app to provide tailored wellness and health features, pioneering AI models for early disease detection, and exploring how generative AI can facilitate medical reasoning and support in clinical dialogues.

At last year’s Check Up event, Google introduced Med-PaLM 2, an LLM specifically tuned for healthcare. Following this, in December, Google announced MedLM, a suite of foundational models for healthcare built upon Med-PaLM 2, which has been made more widely accessible via the Google Cloud’s Vertex AI platform.

Various healthcare organisations are currently piloting Google’s LLM models to devise solutions across a spectrum of applications, such as enhancing clinical documentation and optimising nurse handovers.

Karen DeSalvo, M.D., Google’s Chief Health Officer, underscored the pivotal moment AI technology is within the healthcare sector during her address at The Check Up event.

“It’s an exhilarating time to be at Google, where our cutting-edge technology is leveraged to foster better health outcomes. Our mission is to embed AI in a manner that enriches people’s lives through improved health. We aim to achieve this by integrating health-focused solutions into everyday products and services, thereby empowering our partners and communities,” DeSalvo expressed.

DeSalvo shared her vision of a near future where AI empowers healthcare, enhancing the wellbeing of all, rather than a select few. However, she emphasised that AI is to be seen as a tool augmenting the clinician-patient interaction, rather than replacing it.

In collaboration with Google Research, Fitbit is developing a health-specific LLM to provide Fitbit and Pixel device users with a bespoke health coaching experience based on their personal data.

This initiative is set to offer personalised coaching functionalities, such as customised advice and recommendations, tailored to individual health and fitness aspirations. The launch of Fitbit Labs in the autumn marked the beginning of leveraging AI for deeper health insights.

Florence Thng, Director of Product Management at Fitbit, highlighted the collaborative efforts with Google Research and health experts to formulate personalised health LLMs that can interpret health and fitness data to offer customised advice, akin to a personal coach.

Moreover, earlier this year, Google unveiled AMIE (Articulate Medical Intelligence Explorer), an AI research system optimised for diagnostic reasoning and clinical dialogues, built on an LLM.

Greg Corrado, a distinguished scientist and the head of health AI at Google Research, during the event, emphasised the importance of empathy in medicine and how AMIE is designed to reflect this in clinical consultations.

The ambition to harness AI in healthcare is reaching new heights with Google’s ongoing research and development efforts. The Gemini model suite, particularly fine-tuned for the medical field, is demonstrating remarkable capabilities in advanced reasoning and handling complex data across multiple modalities.

The deployment of MedLM for Chest X-ray analysis signifies Google’s commitment to applying AI in practical, impactful ways in medicine, promising to assist healthcare professionals in making more informed decisions and improving patient care outcomes.

This evolving landscape of medical AI at Google points to a future where technology and healthcare intersect more seamlessly, promising a new era of innovation and enhanced care delivery.

NHS adopts AI to combat absenteeism and expedite elective care waiting times

The National Health Service (NHS) is on the brink of an innovative leap, deploying artificial intelligence (AI) across an additional ten trusts with the aim of curtailing missed appointments and thus liberating valuable staff hours. This strategic move is anticipated to significantly dent the backlog in elective care waiting lists.

This initiative’s expansion comes in the wake of a triumphant pilot programme at the Mid and South Essex NHS Foundation Trust. This particular programme witnessed a near one-third reduction in patient no-shows within a mere six-month span.

The pioneering software, a collaborative creation between Deep Medical and contributions from both a frontline worker and an NHS clinical fellow, utilises algorithms alongside anonymised patient data to foresee potential appointment absences. It ingeniously taps into various external factors, such as weather conditions, traffic situations, and employment statuses, to deduce possible reasons behind a patient’s failure to attend. To counteract these challenges, it proposes alternative booking options that align more closely with the patient’s availability, including after-hours and weekend slots for those unable to take daytime leave.

Moreover, the software cleverly incorporates a system of intelligent backup bookings, ensuring that no clinical time goes to waste and optimising overall operational efficiency.

The six-month trial at the Mid and South Essex NHS Foundation Trust produced remarkable results: a 30% decrease in no-shows, 377 prevented missed appointments, and an additional 1,910 patients seen. Given these outcomes, projections suggest the trust could save approximately £27.5 million annually by persisting with this programme, benefiting a population of 1.2 million.

Deep Medical, under the co-founder duo Dr Benyamin Deldar and AI connoisseur David Hanbury, is at the forefront of this technological advancement. Dr Deldar highlights the software’s dual benefit: drastically reducing missed appointments and repurposing these slots for other patients, thereby enhancing both financial savings and public healthcare delivery.

The imminent roll-out to an additional ten trusts across England marks a significant step forward in this AI-powered journey.

In a concerted effort to recuperate elective care services post-pandemic and address prolonged waits for routine procedures, the NHS is embracing cutting-edge technologies and innovations, including AI. This approach aims to tackle the prevalent issue of missed hospital appointments, which amounts to hundreds of thousands each month, thus ensuring more judicious use of clinical time and expedited access to care for waiting list patients.

Annual statistics reveal a startling 6.4% no-show rate among the 124.5 million outpatient appointments across NHS England, translating into a financial strain of £1.2 billion.

The analysis also uncovers that physiotherapy appointments bear the brunt of absenteeism, with an 11% no-show rate, followed closely by cardiology, ophthalmology, and trauma and orthopaedics.

Dr Vin Diwakar, NHS England’s National Director for Transformation, praises the NHS’s innovative spirit and its openness to novel operational methods that ensure timely patient care. He underscores the AI initiative’s capacity to not only refine patient services but also to foster a more economical utilisation of taxpayer funds.

Moreover, he emphasises the role of such AI pilots in empowering patients to manage their healthcare more effectively and in addressing health inequalities.

The University Hospitals Coventry and Warwickshire (UHCW) NHS Trust exemplifies another facet of AI application through ‘process mining’. This technique offers insights into the efficacy of existing processes, spotlighting bottlenecks and areas ripe for improvement.

Notably, during its pilot, the Trust identified a correlation between high deprivation scores and increased DNAs, with a marked surge in last-minute cancellations post two SMS reminders. Adapting their strategy to send reminders 14 days and then four days prior to an appointment significantly reduced no-show rates from 10% to 4% among a targeted patient group.

Encouraged by these results, the Trust is now exploring the application of process mining to theatre scheduling, aiming for further efficiency gains and enhancements

Unlocking the secrets of effective mental health therapy through AI: A groundbreaking study

In a landmark development within the healthcare sector, a recent study has shed light on the potential of artificial intelligence (AI) and large language models to revolutionise mental health therapy on a global scale. This study, which meticulously analysed over 20 million text-based counselling messages, offers new insights into the dynamics of successful therapy, marking a significant step forward in understanding and enhancing mental health treatment.

Published in the Journal of The American Medical Association (JAMA) Open, this research stands as the most extensive of its kind to date. The study employed AI to scrutinise more than 160,000 anonymised, text-based counselling sessions, encompassing a staggering total of 20 million texts. This approach has established a new precedent in mental health research, focusing not on substituting AI for human therapists, but on dissecting the efficacy of human interaction within behavioural health care.

The primary objective of this investigation was to illuminate how certain conversational elements in therapy could predict patient satisfaction, engagement, and clinical outcomes. By employing AI in a responsible manner, the researchers were able to unveil the correlation between the substance of mental health dialogues and key indicators of treatment success.

One of the study’s pivotal discoveries is the direct link between empathetic counselling and improved patient satisfaction and clinical outcomes. This finding suggests that AI can play a crucial role in bolstering the connection between therapists and their patients. The research also highlighted the importance of supportive counselling in achieving better patient outcomes, emphasising the critical role of human elements such as warmth, empathy, genuine curiosity, and insight in facilitating patient progress.

This collaborative research effort was spearheaded by health tech company Lyssn.io, known for its AI-based quality assurance and clinician training platform, and online therapy provider Talkspace. Talkspace, a New York City-based company established in 2012, offers asynchronous, text-based therapy and has significantly expanded access to mental health services through its platform, which serves approximately 113 million individuals through various partnerships.

The study utilised anonymised patient data provided by Talkspace, analysed using Lyssn’s advanced AI platform. This collaboration aimed to overcome the challenges associated with traditional methods of evaluating therapy quality, which are often labour-intensive, costly, and impractical on a large scale.

The utilisation of AI and large language models introduces a novel approach to examining the nuances of mental health therapy and the clinician-patient dialogue. This methodology promises to enhance clinician training by providing detailed feedback on therapeutic practices, ultimately leading to improved treatment outcomes, patient engagement, and satisfaction.

Furthermore, the study’s findings challenge the preconceived notion that AI and digital health technologies might dehumanise mental health therapy or replace human therapists. Instead, it underscores the potential of AI to enrich the therapeutic process, offering therapists additional tools and insights to enhance their interactions with clients, thereby fostering a stronger therapist-patient connection.

This research not only sets a new benchmark in mental health study but also opens the door to using AI in advancing mental health clinician training. By highlighting the indispensable value of human interaction in therapy and demonstrating how AI can augment these interactions, the study paves the way for future innovations in mental health treatment that harmonise technology and human empathy.

World Health Organisation unveils new Global Digital Health Initiative to transform healthcare

In a significant step towards advancing global health care through technology, the World Health Organisation (WHO) unveiled its Global Initiative on Digital Health (GIDH) on Tuesday (20th of February, 2024). This initiative represents a coordinated network managed by WHO, aimed at bolstering and harmonising resources to support the digital transformation of health care led by countries around the world.

The GIDH is set to fortify collaboration and knowledge sharing, serving as a critical mechanism for the execution of the Global Strategy on Digital Health for the period 2020-2025. Its objectives include evaluating and addressing the digital health requirements of member countries to ensure sustainable transformation, enhancing capacity building, and unifying efforts to promote the local development, maintenance, and adaptation of digital health technologies in response to evolving health care needs.

An executive summary released alongside the GIDH’s launch highlighted that over 120 WHO Member States have formulated national digital health policies or strategies. However, many of these strategies lack detailed financial planning or comprehensive architectural designs. Moreover, the rapid progression of digital health transformation faces hurdles such as fragmented resource allocation, inconsistent definitions, and varying quality levels of digital solutions.

A pivotal concern among countries is the transition from product-centric digital health initiatives to the establishment of a national digital health infrastructure. This transition necessitates reliable, high-quality technical support to meet national digital health priorities effectively, with governments leading the charge.

To combat challenges like effort duplication and product-focused digital health transformation, the GIDH is structured around four foundational pillars. These pillars are designed to ensure that digital health investments align with national priorities through a country needs tracker, identify both conventional and innovative funding opportunities via a country resource portal, enhance country capacity and autonomy through a transformation toolbox, and promote robust collaboration and knowledge sharing across digital health networks globally, regionally, and nationally.

A particular focus of the GIDH is on data sharing and enhancing patient access to digital health tools. Mathias Cormann, secretary general of the Organisation for Economic Cooperation and Development, emphasised during a webinar that the initiative could significantly contribute to improving data sharing and patient access to digital tools. He pointed out the underutilisation of health-related data, which, despite constituting 30% of the world’s data, sees less than 1% used in healthcare decision-making. Cormann also highlighted the introduction of public application programming interfaces (APIs) for health data by at least 14 OECD countries, which could serve as valuable models for similar efforts worldwide.

Improving patient access remains a priority, with 23 out of 27 OECD countries reporting that patients can view their electronic health records. Nevertheless, the accessibility of this data to all patients and health providers is limited, and functionality issues persist.

Dr Tedros Adhanom Ghebreyesus, WHO’s director-general, warmly welcomed the GIDH, underscoring WHO’s longstanding commitment to leveraging technology to enhance health. He mentioned the establishment of the Department of Digital Health and Innovation at WHO and the creation of a global digital health certification network. This network facilitates the bilateral verification of digital records and health certificates across over 75 countries. Additionally, WHO recently introduced guidelines for member states on regulatory considerations for artificial intelligence, marking another stride towards assisting countries in achieving their digital transformation ambitions.

Dr Tedros highlighted the challenges of fragmentation and overlap in the digital health sphere, exacerbated by the proliferation of new digital tools lacking common standards. He advocated for a digital health future characterised by interoperable systems, reducing the workload on health care providers and improving service delivery to the public. The emphasis is on governments having access to quality-assured digital tools and resources necessary for the local production and ownership of digital health solutions.

This initiative builds on WHO’s recent policy brief on digital health data, including new guidelines on “person-centred” HIV strategic information, reinforcing its dedication to shaping a future where digital health tools are integral to global health care enhancement.

Digital health solutions must adapt to elderly needs, South Korean study shows

A recent investigative endeavour originating from South Korea sheds light on the nuanced relationship between the elderly population and their engagement with digital healthcare solutions. This intricate study, a collaborative effort spearheaded by esteemed institutions and corporations such as Seoul National University, Yonsei University, aged care specialist Silvia Health, and digital therapeutics pioneer WELT Corp., embarks on an exploration to dissect the utilisation patterns and satisfaction levels derived from healthcare applications and wearable health devices among older Koreans.

The research team embarked on a pioneering journey to delineate the disparities in digital health technology adoption between seniors who are either pre-frail, frail, or healthy. This distinctive approach has positioned them as frontrunners in analysing how frailty influences digital health technology use within this demographic.

Garnering support through a grant from the Korea Disease Control and Prevention Agency, the findings of this pivotal study have been meticulously documented in the esteemed Journal of Korean Medical Science.

Engaging with a cohort of 505 participants, all aged 65 and above, the study reveals that 30% of these individuals are categorised as frail by Korean healthcare standards, with the remainder classified as healthy. A noteworthy revelation from this survey is the digital literacy gap among the respondents: whilst all participants are smartphone users, a significant 63% admit to facing challenges in managing mobile applications independently.

The investigation unveils that merely a quarter of the surveyed group actively utilises healthcare applications, with a higher propensity observed among the healthy elderly. For the frail segment, these digital tools serve primarily as conduits for accessing healthcare information and procuring medical advice, significantly enhancing their self-care capabilities and the management of personal health data.

Conversely, the adoption of wearable health devices remains markedly low, with just 36 out of the 500+ respondents integrating such technologies into their daily lives. These devices, ranging from smartwatches to patch-type gadgets, are predominantly utilised for monitoring physical activity. It emerges that healthy individuals appreciate the convenience offered by wearable devices more than their frail counterparts, who, however, value these devices for their potential to aid in making critical healthcare decisions, such as the timing of hospital visits.

South Korea stands at the cusp of a demographic shift, with senior citizens currently constituting nearly 20% of its population, a figure anticipated to escalate sharply in the coming decades. This evolving demographic landscape underscores the urgency for tailored digital health solutions that cater specifically to the elderly’s unique needs.

The study’s findings highlight a discernible disparity in the use of digital health tools between frail and healthy seniors, advocating for the development of technologies that are not only accessible but also specifically designed to address the distinct requirements of this age group.

The researchers articulate a compelling argument for a more nuanced approach to digital health technology, stressing the importance of understanding the elderly’s specific needs and expectations. They advocate for the integration of customised services into digital devices, particularly those that cater to the frequently used services by pre-frail and frail older adults.

In a country renowned for its high smartphone penetration rates, South Korea is uniquely positioned to leverage mobile health technologies to enhance the health outcomes of its ageing population. A previous study in 2022 highlighted the potential of these technologies to mitigate the impact of social determinants on health, emphasising, however, that they cannot supplant the traditional care settings.

This groundbreaking study not only illuminates the current landscape of digital health technology usage among the elderly in South Korea but also charts a path forward for the development of more inclusive and effective digital health solutions, ensuring that the ageing population remains connected, informed, and empowered in managing their health.

Australia’s health tech boom: A new era of patient care and economic growth

In the realm of healthcare, a transformative wave of technological innovation is heralding an era of enhanced employment opportunities, a more sophisticated health infrastructure, and significantly improved patient care outcomes in Australia. This perspective is championed by the Assistant Minister for Health, Ged Kearney, who underscores the dual benefits of advancing health technology – economic growth and healthcare improvement.

According to a revealing independent analysis unveiled by Kearney at Parliament House, each million dollars of investment in this sector is responsible for generating fifty-six new full-time positions. Moreover, this investment yields more than quadruple the gross economic value for every dollar expended, showcasing the substantial economic leverage of health technology advancements.

For years, Australia has grappled with a self-perception of excelling in research while faltering in the commercialisation of innovative ideas. However, this narrative is undergoing a radical change, thanks in part to a flagship initiative. This initiative, buoyed by industry support and the federal medical research future fund, meticulously evaluates the economic impact of digital health advancements in diagnosis, monitoring, and recovery, particularly within the comfort of patients’ homes.

Kearney emphasises the initiative’s role in steering the health system towards offering more personalised and interconnected healthcare solutions. The ANDHealth+ programme exemplifies this approach through its “idea to exit” business accelerator model, which allocates funding and specialised assistance to domestic small and medium-sized enterprises (SMEs) with significant growth prospects.

Bronwyn Le Grice, CEO of ANDHealth, highlights the global impact potential of these technologies, which include innovations for more precise and rapid epilepsy diagnosis, the use of artificial intelligence (AI) in determining the efficacy of eye disease medications, and remote cardiac rehabilitation monitoring by leading cardiologists.

One notable invention is “Oli”, an AI-enhanced wearable device that tracks vital signs to identify expectant mothers at risk of complications during childbirth. This device, named after the founder’s son and produced by Baymatob in Sydney’s inner west, represents the cutting-edge intersection of medical devices and software intelligence.

The programme’s efficacy is underscored by LEK Consulting, which recognises the business model’s potential to address Australia’s commercialisation challenges, suggesting its applicability across various sectors. To date, 850 digital health companies have received support, raising a total of $161.8 million in capital, creating 512 new jobs, conducting numerous clinical trials, reaching over one million patients, and launching 30 products internationally.

With 755 startups still operational, these figures testify to the resilience and success of companies in a challenging landscape for new ventures and investors. The report also notes that companies focusing on diagnostics, monitoring, and screening are leading job creators.

Despite the obstacles of prolonged development phases and the necessity of comprehensive clinical trials for regulatory approval, the sector’s pioneers remain optimistic. Le Grice advocates for supporting innovation, irrespective of its origin, emphasising the importance of evidence-based technologies capable of transforming lives.

This paradigm shift towards integrating health technology into economic strategy not only revitalises patient care but also propels Australia closer to overcoming its commercialisation hurdle, heralding a future where health and wealth are intrinsically linked.

U.S. healthcare industry powers toward digital future

In an era marked by rapid technological evolution, the healthcare industry in the United States is making significant strides towards a digitally-enhanced future. A recent study conducted by Information Services Group (ISG), a prominent global technology research and advisory institution, sheds light on this transformative journey. The findings, encapsulated in the 2023 ISG Provider Lens™ Healthcare Digital Services report, underscore a concerted move by healthcare providers and insurers towards embracing digital health tools, aiming to bolster the efficiency, accessibility, and quality of healthcare services.

At the heart of this digital shift are integrated electronic health records (EHRs) and patient-centric applications. These innovations are enabling healthcare organisations to monitor patients with greater precision, facilitate seamless data exchange among healthcare professionals, and offer tailored wellness advice directly to patients. The implications of such advancements are profound, enhancing patient care and operational efficiencies across the board.

Bob Krohn, a healthcare partner at ISG, highlights the transformative impact of this trend. He points out that as the industry gains a deeper understanding of the social determinants of health, there is a growing emphasis on utilising technology to promote health equity and outcome-focused care. This modernisation wave is not only about adopting new technologies but also about rethinking approaches to healthcare to ensure it is more inclusive and outcome-oriented.

A critical aspect of this transformation is the collaboration between providers and insurance companies. This partnership is pivotal in identifying and supporting the most vulnerable segments of the population. By integrating technology with a deep understanding of the social factors influencing health, the sector aims to foster behavioural changes that could lead to significant improvements in public health. Technologies such as EHRs, machine learning, and predictive analytics are at the forefront of these efforts, enabling a more personalised, holistic approach to healthcare.

The report also highlights a shift towards more cost-effective healthcare services, particularly under Medicare, through partnerships between providers and insurance companies. This move towards value-based care, which prioritises quality over quantity, is not just improving patient outcomes but is also presenting providers with new growth and competitive opportunities.

Furthermore, Generative AI (GenAI) is identified as a burgeoning technological wave poised to redefine the healthcare industry. With many organisations planning substantial investments in GenAI solutions over the next five years, there is anticipation of significant impacts on healthcare technology and economics. ISG predicts that GenAI will prompt a reevaluation of current projects, with technology service providers ready to guide enterprises through these transitions.

The exploration of healthcare technology trends extends to integrated health platforms and the increasing need for electronic medical record migration services. Moreover, the report delves into challenges such as talent shortages and the integration of new technologies with existing systems, offering insights and recommendations for addressing these issues.

The 2023 ISG Provider Lens™ Healthcare Digital Services report evaluates 39 providers across three categories: Payer Digital Transformation Services, Provider Digital Transformation Services, and Healthcare Platform Implementation Services. It recognises leaders in the field, including Accenture, Cognizant, and HCLTech, among others, for their outstanding contributions across various segments. Additionally, companies like CitiusTech and Persistent Systems are acknowledged as Rising Stars, indicating their promising potential in the healthcare digital services landscape.
This comprehensive report, available for subscribers or through a one-time purchase, offers an invaluable resource for understanding the dynamic changes underway in the U.S. healthcare sector and the digital innovations driving these changes forward.

AI breakthrough improves eye exam rates in youth with diabetes

In a ground-breaking study conducted by the Johns Hopkins Children’s Center, researchers have demonstrated a significant leap forward in the field of diabetic eye care through the implementation of autonomous artificial intelligence (AI) for eye examinations. This innovative approach has markedly improved the rate of screening completions among children and adolescents with diabetes, thereby offering a promising avenue to combat the incidence of diabetes-related eye diseases (DED), which can lead to blindness if left unchecked.

The study, which has been a focal point of attention in a recent Johns Hopkins news release, utilises a non-intrusive method whereby images of the retina are captured without the necessity for pupil dilation. Following this, AI technology analyses the images to provide instantaneous results, distinguishing this method from traditional screening procedures which often require an additional appointment and dilation of the eyes.

The significance of this research cannot be overstated, especially considering its potential to bridge healthcare disparities. Historically, minority and economically disadvantaged youth, who are at a heightened risk of developing DED, have faced substantial barriers in accessing regular eye screenings. The AI-driven method heralded by this study not only promises to close these care gaps but also to enhance adherence to screening protocols among these populations.

Published in the esteemed journal Nature Communications, the study analysed eye exam completion rates among individuals under 21 years of age suffering from type 1 and type 2 diabetes. Remarkably, it was found that all participants who underwent the AI-based screenings completed their eye assessments, a stark contrast to traditionally lower adherence rates.

Diabetic retinopathy, a condition affecting 4% to 9% of youth with type 1 diabetes and 4% to 15% of those with type 2 diabetes, underscores the urgency for regular screenings. The American Diabetes Association estimates that approximately 238,000 individuals under the age of 20 are living with diagnosed diabetes, making early detection and treatment of eye conditions critical to preventing the advancement of DED.

Despite the general recommendation for annual screenings, traditional methods have seen a participation rate of only 35% to 72% among young diabetic patients, with even lower rates observed in minority and economically disadvantaged groups. Barriers such as confusion over the necessity of screenings, inconvenience, and lack of accessibility have all contributed to this shortfall.

The Johns Hopkins study introduced a novel solution to these challenges by incorporating autonomous AI screening into routine visits to the endocrinologist, thereby eliminating the need for separate appointments and the discomfort of eye dilation. This method, which involves taking four images of the eye to assess for diabetic retinopathy, has not only streamlined the screening process but also facilitated immediate follow-up actions when necessary.

This research initiative enrolled 164 participants from the Johns Hopkins Pediatric Diabetes Center, with a demographic makeup that was both gender and ethnically diverse. The findings revealed a 100% completion rate for eye exams among the group subjected to AI screenings, a significant improvement over traditional methods.

The study’s lead, Dr. Risa Wolf, emphasised the dual benefits of this approach: increased screening rates and the potential to enhance health equity. By making screenings more accessible and convenient, the researchers hope to prevent the progression of diabetic eye disease across all demographics.

However, it is important to note the study’s limitations, including the current FDA approval status of the autonomous AI for individuals under 21 and the potential bias due to some participants’ prior familiarity with AI screenings from a previous study.

Funded by the National Eye Institute of the National Institutes of Health and the Diabetes Research Connection, this study represents a pivotal step forward in diabetic eye care. It not only underscores the transformative potential of AI in healthcare but also highlights the critical need for innovative solutions to improve access and outcomes for vulnerable populations.

UCSD Health study reveals AI’s potential in reducing sepsis mortality

Sepsis, a critical and often fatal response to infection that causes widespread inflammation and organ damage, is a major health concern, claiming the lives of approximately 350,000 Americans annually. Timely detection is crucial for effective treatment, involving prompt administration of antibiotics and intravenous fluids to stabilise the patient.

Researchers at UC San Diego Health have been exploring the potential of artificial intelligence (AI) to enhance early sepsis diagnosis. Their internally developed AI system, named COMPOSER, utilises machine learning and is trained on over 100,000 digital patient records from previous sepsis cases. A recent study published in the journal npj Digital Medicine has demonstrated the potential of COMPOSER in reducing mortality rates.

COMPOSER operates by analysing electronic health records of emergency patients at UCSD every hour. It evaluates various parameters, including medication histories and recent vital statistics, to identify individuals who may be in the initial stages of sepsis. This approach is particularly beneficial in ambiguous cases, where symptoms do not distinctly indicate sepsis.

Dr. Gabriel Wardi, a co-author of the study and a specialist in emergency medicine and sepsis, highlights the algorithm’s significance in situations where diagnostic clarity is lacking. The system acts as an additional tool for medical professionals, suggesting further examination of patients at risk of developing sepsis, thereby facilitating timely intervention.

The study involved 6,217 emergency patients at UCSD’s Hillcrest and La Jolla emergency departments. Comparing the outcomes of 5,000 patients treated before the implementation of COMPOSER with 1,152 patients during its active phase, researchers observed a reduction in sepsis mortality from 11.39% to 9.5%. While these results are promising, they represent correlations rather than direct cause-and-effect, due to the non-randomised nature of the trial.

Karin Molander, director of the Sepsis Alliance, acknowledges the potential benefits of AI in healthcare, particularly in continuous monitoring without human limitations. However, she emphasises the importance of verifying AI-generated recommendations.

The implementation of COMPOSER required careful calibration to minimise false alerts, ensuring that it aids rather than burdens healthcare providers. The system, while capable of predicting sepsis, cannot replace medical professionals, who are responsible for all patient care decisions.

Shamim Nemati, a co-author and UCSD associate professor, notes the challenges in training the algorithm to differentiate between sepsis and similar conditions. The ongoing development of COMPOSER includes enhancements to request additional diagnostic tests when necessary.

UCSD is expanding the use of COMPOSER to include patients admitted to the hospital, and its application is expected to extend to the new East Campus. The integration of advanced wearable sensors and large-language models like ChatGPT into the system is also underway, aiming to improve data accuracy and reduce false alarms.

UC San Diego Health is actively incorporating AI into various aspects of patient care, having appointed its first chief AI officer and collaborating with Microsoft Inc. to utilise AI technologies like ChatGPT in routine patient communications. This initiative is part of a broader strategy to centralise data integration and maximise the benefits of AI in healthcare.

Digital health tools surge in popularity among Londoners

A groundbreaking report produced by the Health Innovation Network (HIN) South London and the NHS England (London) Digital First team reveals a significant shift towards digital healthcare engagement amongst London residents. The report, incorporating insights from over 3,000 London patients through online surveys and focus groups, discloses that nearly three-quarters of participants have embraced digital platforms like online consultation forms, the NHS App, and GP surgery websites for accessing primary healthcare services.

The report underscores the widespread appreciation for digital tools, citing their role in facilitating a more independent approach to healthcare management. The majority of respondents find these digital avenues not only user-friendly but also time-efficient, allowing for straightforward completion of essential healthcare tasks.

Despite the general ease of use, the report acknowledges disparities within London. Notably, 43% of respondents are unable to schedule routine GP appointments online, and nearly one-third lack comprehensive access to their medical records via the NHS App. Such variations highlight ongoing challenges in accessibility and feature availability.

The necessity to address digital exclusion is a critical component of the report, recognising the potential underrepresentation of digitally marginalised groups in such research. Efforts to combat the root causes of digital exclusion are emphasised as a priority.

The NHS App emerges as the most utilised digital tool, with 87% of survey participants reporting its use. The app is highly regarded for its informational value and the autonomy it provides in managing health, notably through medication reordering and health record access.

Online consultation forms are another key digital touchpoint, utilised by 77% of respondents. These forms are praised for reducing travel and waiting times, although challenges such as limited availability and the complexity of the forms are noted concerns.

GP surgery websites have been accessed by 76% of those surveyed, with users finding them beneficial for directing towards self-care and detailing GP service access. While improvements in website quality are noted, issues with navigation, appointment booking, and outdated information persist.

The report proposes several recommendations, including enhancing patient communication about available digital tools, pursuing higher standards in usability and accessibility, and adopting a patient-centred approach in service design and delivery.

Feedback from patients suggests that GP practices should extend the availability of online forms and increase the number of appointments bookable online. Additional suggestions include implementing mechanisms for timely patient feedback and ensuring all repeat medications in the NHS App are orderable. The report also addresses digital exclusion, advocating for a flexible approach in the application of digital tools.

At the report’s unveiling, Matt Nye, director of the Digital First Programme, NHS England (London), highlighted the pivotal role of digital tools in London’s primary care. Emphasising the potential for digital channels to yield long-term efficiency gains and enhance patient choice, Nye pointed out the benefits of freeing up GP teams’ administrative time to support patients needing alternative access methods.

Amanda Begley, director of digital transformation at HIN South London, reflected on the comprehensive insights gained about the effectiveness of digital primary care. She noted the high adoption rates of the NHS App, online forms, and GP websites, suggesting that minor improvements, as identified in the report, could significantly enhance patient experience and primary care services. Begley also stressed the importance of continually addressing digital exclusion and supporting primary care teams in offering a diverse array of digital and non-digital health management options.

Can virtual hospitals be the cure for healthcare staffing woes?

The global healthcare sector is currently grappling with a critical shortage of medical professionals. In the United States, the situation has become particularly dire, with over 145,000 healthcare workers leaving their professions by the end of 2022. Experts caution that without addressing the primary concerns of healthcare workers, this shortage is likely to worsen.

Reports by McKinsey and Definitive Healthcare suggest that one potential solution to this crisis lies in the implementation of virtual hospitals, enabling the provision of healthcare services online. This article delves into the key factors contributing to the scarcity of skilled medical staff and examines how virtual patient care can help alleviate these issues.

The Exodus of Healthcare Workers:

The global population is ageing and experiencing deteriorating health, leading to an unprecedented demand for medical services. Even before the recent health crisis, healthcare providers were feeling overwhelmed by this increasing demand, which has only been exacerbated by the COVID pandemic. With a new wave of COVID infections sweeping the US, many medical workers are reluctant to face another surge in hospitalisations. Adding to this is the issue of experienced healthcare professionals nearing retirement age, but opting to leave early due to health concerns. This exodus has left a gap in mentorship and guidance for those still in training.

Governments, regulatory bodies, and healthcare organisations are under pressure to improve medical staff compensation and incentivise people to join the profession. However, some day-to-day challenges faced by healthcare professionals can be mitigated through technological advancements. Clinicians and nurses have expressed a desire for more flexible schedules, the option to work remotely, and increased opportunities for consultation with other experts. Virtual hospitals are a key solution to these needs.

What are Virtual Hospitals?

A virtual hospital is a full-scale digital hospital providing various medical services online and enabling patients to avoid the stress and burden of travelling to a distant brick-and-mortar facility. Virtual hospitals increase healthcare accessibility, helping people with limited access to medical care.

Four Key Benefits of Virtual Hospitals:

Reduced Pressure on Medical Staff:

Virtual hospitals, integrated with remote patient monitoring (RPM) solutions, allow medical conditions to be monitored and managed remotely. This integration reduces the necessity for patients to physically visit healthcare facilities, thereby lessening the workload on medical practitioners. Digital communication tools like chat rooms, medical chatbots, and secure video calls enable patients to receive timely medical advice, which can prevent the exacerbation of health issues and decrease unplanned hospital visits.

Increased Job Flexibility:

Virtual hospitals provide healthcare professionals with the flexibility to consult patients and collaborate with colleagues from any location. This flexibility enhances work-life balance and reduces burnout risks. According to FlexJobs’ 2023 Work Insights Survey, 96% of professionals find remote or hybrid work more conducive to mental health. Given that burnout is a leading cause of medical staff shortages, addressing it is key.

Enhanced Intraprofessional Collaboration:

Virtual hospitals facilitate easier collaboration between medical professionals across various locations, leading to more accurate diagnoses and improved care quality. This collaboration also aids in faster skill acquisition for new specialists, helping to address gaps in healthcare provision.

Safer Working Conditions:

For healthcare professionals at high risk of contracting infectious diseases like COVID or influenza, virtual interaction with patients and colleagues offers a safer alternative. Additionally, the digital recording of all interactions in virtual hospitals provides a safeguard against workplace harassment and abuse, further ensuring the safety of healthcare workers.

Conclusion:

The healthcare industry is at a pivotal moment where transformation is necessary to meet the growing patient demand. Healthcare workers need improved working conditions, fair compensation, and recognition. While virtual hospitals may not completely resolve the staffing crisis, they play a significant role in enhancing job satisfaction for healthcare professionals. By offering a safer work environment, promoting peer collaboration, and enabling better work-life balance, virtual hospitals can help retain healthcare professionals in the field, thereby ensuring continued provision of high-quality patient care.

Mayo Clinic teams up with Cerebras Systems to advance healthcare AI

The Mayo Clinic, a renowned non-profit medical institution based in Rochester, Minnesota, announced a strategic partnership with the Silicon Valley-based startup Cerebras Systems on Monday (15th of January, 2024). This collaboration aims to harness the power of artificial intelligence (AI) in enhancing healthcare services.

With significant presences across three major campuses in the United States and additional facilities in the United Kingdom and the United Arab Emirates, the Mayo Clinic is set to utilise cutting-edge computing chips and systems supplied by Cerebras. The collaboration will delve into the Mayo Clinic’s extensive archive of anonymised medical records and data, laying the groundwork for the development of bespoke AI models.

According to Matthew Callstrom, Mayo’s Medical Director for Strategy and Chair of the Radiology Department, these AI models are poised to revolutionise various aspects of medical record management and diagnostics. Some models are being designed to interpret and summarise extensive medical records for new patients, streamlining the patient onboarding process. Additionally, other models will focus on identifying intricate patterns in medical imagery and genome data, patterns that might elude even the most experienced medical professionals. However, Callstrom emphasised that these systems are intended to augment medical decision-making, not replace it. The human expertise of doctors remains paramount in the clinical decision-making process.

“The integration of AI is about enhancing the decision-making process for each patient, considering the multitude of factors and drawing upon extensive experience,” Callstrom explained.

The Mayo Clinic’s collaboration with Cerebras is anticipated to yield results that will be accessible via the Mayo Clinic Platform. This platform is a comprehensive data network already utilised by various healthcare systems such as Mercy in the U.S., the University Health Network in Canada, and other systems in Brazil and Israel.

While the pricing model for the AI technology developed through this partnership has not been finalised, Callstrom indicated that the Mayo Clinic intends to disclose further details about this venture during a presentation at JPMorgan Chase’s healthcare conference in San Francisco.

Andrew Feldman, CEO of Cerebras, described the deal as a multi-million-dollar agreement spanning several years, though he refrained from disclosing specific financial details. Cerebras, aspiring to compete with industry leaders like Nvidia, will provide both the necessary hardware and software development expertise as part of the agreement. This collaboration marks a significant step in integrating advanced AI capabilities into the healthcare sector, aiming to enhance patient care through technological innovation.