BJSS’ Post

An update on what is top of mind for top health systems in 2024 a collaboration between KLAS Research and Center for Connected Medicine. I thoroughly enjoyed working with Ruirui Sun, Ph.D, Alex Nixon, and Valerie Harrison. As no surprise AI has risen to the top of many health systems minds. We will be doing follow up research on some of these topics in the coming year. #healthcare #artificialintelligence #generativeAI #patientaccess #patientcare #remotepatientmonitoring #telehealth #virtualcareplatforms

One of the emerging frontiers in healthcare analytics is the integration of social determinants of health (SDOH) data with traditional clinical data. While we have made significant strides in leveraging clinical and operational data to improve healthcare outcomes, there is an untapped potential in considering factors such as socioeconomic status, education, environment, and lifestyle. Research shows that SDOH can have a more significant impact on health outcomes than clinical care alone. By incorporating SDOH data into our analytics platforms, we can gain deeper insights into patient populations, predict health risks more accurately, and design interventions that address the root causes of health disparities. Pioneering the integration of SDOH data into healthcare analytics in the Middle East, Leading AI & Analytics platforms can set a new standard for holistic, data-driven healthcare. This approach not only enhances their competitive edge but also demonstrates their commitment to improving the health and well-being of the communities we serve. Recent WHO report on an operational framework for monitoring SDOH. #augmentinghumanintelligence #lettherebechange #positiveimpactontheworld #newequation

Reflecting on recent insights from José Escarce's presentation during the LDI Lecture Series and the Penn Medicine Health Equity Week, it's evident that our journey towards #HealthEquity faces significant challenges. Despite concerted efforts to bridge the gap, disparities in healthcare access and outcomes continue to widen, particularly among low-income communities compared to their wealthier counterparts. 🌍 Escarce's study, "Income-Related Inequity in Health Care Delivery: Concept, Measurement, and Recent Trends Among Working-Age Americans," sheds light on the growing health equity gap in the U.S., highlighting the limitations of Medicaid and high deductible health plans in addressing these disparities. It also points to the broader societal and economic factors at play, including income inequality and social determinants of health care, that exacerbate health inequities. 💡 This analysis underscores the urgency of rethinking our approach to healthcare, emphasizing the need for more effective strategies that address not only the financial barriers to accessing care but also the social and structural determinants of health. As we strive towards a future where every individual has equal access to healthcare, it's crucial to leverage #AI and other technologies with a nuanced understanding of these challenges. In the video below, Brook Blackmore, vice president of clinical operations at Azra AI, discusses how AI transcends boundaries and eliminates bias in #healthcare -- enabling us to reach individuals who might otherwise be overlooked. Every life is valuable, and #EveryPatientCounts. 💪💖 Link to article: https://lnkd.in/ezySx8dS #AIinHealthcare #healthcareinnovation #NoOneLeftBehind

Day 4 of National Public Health Week, “New Tools and Innovations,” illuminates the transformative role of technology, including AI, in public health. My engagement with telehealth and AI has shown me their potential not only for personalized medicine but also as pivotal tools in outbreak prediction and management as well as opportunities to create tailored public health education to a diverse audience/stakeholders. Telehealth expands healthcare access, bridging distances to reach underserved communities. Meanwhile, AI enhances our ability to predict and respond to health crises quickly by analyzing vast datasets, making it possible to foresee outbreaks before they spread widely. This capability is essential for proactive public health strategies, enabling swift interventions that can save lives. While we embrace these technologies, maintaining a commitment to responsible data use ensures that our advancements benefit everyone. As we continue to innovate, let’s ensure that our approaches are guided by a balanced consideration of utility and ethical standards. The integration of AI and telehealth is not just about technological achievement; it is about shaping a future where public health is proactive, personalized, and accessible to all. How do you see these innovations shaping the future of public health in your area? #NPHW #PublicHealthTech #Telehealth #AIOutbreakPrediction #DigitalHealth #HealthTech #PublicHealthInnovation #PrecisionMedicine #HealthData #AIOutbreakPrediction #PublicHealth

Government’s Future Frontiers: How AI can enhance the humanity in health care Discover how AI is shaping the future of health care - from reducing costs and increasing efficiency to enhancing patient communication and care. Explore this and more on the new episode of Government's Future Frontiers: https://deloi.tt/3VduxMg  

Social determinants of health (#SDoH) are the non-medical factors that influence 30–55% of #healthoutcomes and affect access to healthcare. They include the conditions in which people are born, grow, work, live, and age, as well as the wider set of factors shaping the conditions of daily life. These wider factors include economic policies and systems, development agendas, social norms, social policies, and political systems. Data-driven solutions have the potential to significantly improve the understanding and addressing of social determinants of health (SDoH). By leveraging advanced #analytics and #machinelearningalgorithms, healthcare systems can analyze vast amounts of data related to socioeconomic factors, environmental conditions, and community resources. These analyses can uncover patterns and correlations that help identify areas with high social vulnerability and unmet needs. With this information, targeted #interventions and policies can be developed to address disparities and improve #healthequity. At AI Nexus Healthcare, we recognize that the intricacies of health extend far beyond the clinic. By interpreting the wealth of #data surrounding #socialdeterminants, we are not just analyzing trends, but actively crafting a more #equitablehealthcare landscape. This approach allows us to address the unique needs of diverse communities, champion proactive care, and anticipate challenges before they arise. To get more information on our technology, visit our website: https://buff.ly/3YHF4yZ #miavitals #ainexus #mhealth #mobiletechnology #aihealth #aitechnology #remotemonitoring

Patients are bullish on the benefits of genAI, but still have qualms 🤖 👨⚕️ 🏥 The article from Healthcare IT News discusses the public's mixed feelings about generative artificial intelligence in healthcare. While there is optimism about genAI's potential to improve healthcare access and affordability, there is also a notable level of distrust among consumers. This article reflects the complex relationship between technological advancements and public trust. While genAI holds promise for transforming healthcare, building trust with consumers remains a crucial challenge that needs to be addressed through education, transparency, and ethical practices. Check the full article below! Source: https://lnkd.in/ejD3WKsJ #GenAIHealthcare #AIinHealth #DigitalHealthTrust #HealthcareInnovation #PatientDataEthics #AIforGood

Very interesting read, thanks for sharing Tara Donnelly I agree AI offers so much potential to solve some big challenges in health and social care. For example, the use of generative AI, and particularly large language models (LLMs), could enable the development of clinical co-pilots that can help clinicians safely manage much larger groups of patients when remote monitoring. This could be transformational, and it's probably not that far off. Another interesting way AI could help is in effective self-management – particularly for people with long-term conditions. This type of technology could ensure that feedback given to people is more personalised and thereby more motivational, so that people feel in control of their long-term condition rather than the other way around. #ai

Tara Donnelly's insights on AI in healthcare, particularly on large language models as clinical co-pilots, are groundbreaking, highlighting the transformative potential in patient management and clinical efficiency. The concept of AI-powered digital scribes, aiming to reduce clinical documentation workload, stands out as a crucial innovation for reducing burnout and improving efficiency in healthcare. In our view the article's emphasis on the public's growing acceptance of digital homecare, especially among older populations, underscores the shift in patient preferences post-pandemic. This acceptance reflects the changing landscape of healthcare, where digital tools are not just about technology but service transformation to enhance patient experiences. The focus on practical, low-risk digital innovations in healthcare is a refreshing perspective, showing the need for scalable and sustainable tech solutions. The rise of 'virtual wards' marks in our view a significant evolution in healthcare delivery, offering hospital-level care at home and reflecting patients' changing needs. This innovation, coupled with the need for awareness-raising among NHS staff and the public, highlights the importance of integrating health care technology into mainstream narratives. Donnelly's call for bold steps in maximising technology's potential in healthcare resonates with the urgent need for innovation. The NHS's leadership in the digital realm has the potential to set a global example, underscoring the importance of innovative and patient-centric healthcare solutions.