Stacie Buck, RHIA, CCS-P, CPCO, CIRCC, CCC, RCC, RCCIR’s Post

Today, a perfect storm of economic, demographic, technological, and environmental factors has ignited the #digitalrevolution in health care. These include the unsustainable cost of care; a shift to value-based reimbursement, in which outcomes and efficiency drive compensation; the desperate need for improved access to care; and the growth of precision medicine. Demographically, aging populations in most developed countries will require more medical services even as the healthcare workforce shrinks. Meanwhile, millennials who were raised in a digital world are demanding a health care system that is as simple to navigate, predictive, and interactive as Amazon. The rise of smartphones and #wireless technology means healthcare delivery can occur anywhere, anytime.  The U.S. and other countries are facing a significant shortage of physicians in many specialties, as clinicians retire and fewer people go to medical school. Meeting these challenges is impossible without a digital infrastructure that is transformative, globally accessible, and capable of delivering real-time, actionable results. With data and #analytics, we can reimagine medicine. Imagine, for instance, computers that can mine genetic, #genomic, laboratory, health history, and other data to predict an individual patient’s likelihood of an adverse drug event, stroke, or heart attack; analyze the thousands of data points that make up a single patient’s disease to forecast the disease trajectory and enable tailored treatment; and use sophisticated analytics to monitor the heart rates of premature infants for subtle changes that may presage infection. These are not some futuristic fantasies but areas under active research today. This report by GE," Big Data, Analytics & Artificial Intelligence- The Future of Health Care is Here" provides an overview of the future of #digitalhealth. It describes the skepticism and hype and what is needed for the medical community to embrace a world where #data, machines, and analytics are employed to deliver higher quality, more efficient care. It also includes real cases that demonstrate the clinical and financial benefits of incorporating digital tools into the workflow and care of patients. https://lnkd.in/eC8_4Sjj #digitalcare #healthtechnology #dataanalytics #healthcareadtoption

It's great to see the growing focus on responsible AI use in healthcare, especially for Low and Middle-Income Countries (LMICs)! This addresses the long spoken about need for innovative solutions in resource-limited settings. So what are we seeing? - For Frontline Workers: 🩺 AI-powered diagnostic tools that could enhance accuracy and speed, a clear need in areas with limited specialist access. 📊 Predictive analytics that might help prioritize high-risk patients, optimizing our scarce resources. 🎓 AI-driven training modules that could provide continuous education, addressing the ongoing challenge of keeping skills current. -For Health Policy Makers: 📈 Data-driven insights that could inform evidence-based policies, maximizing impact of limited budgets - a persistent issue in LMICs. 🗺️ AI tools that might assist in resource allocation, potentially solving the long-standing challenge of equitable healthcare distribution. 🦠 Predictive modeling that could enhance epidemic preparedness, addressing a critical need highlighted by recent global events. Despite these opportunities the perceived lack of uptake/representation is often masked by real-world challenges, including: Limited compute power and infrastructure. Low AI literacy among end users. Financial constraints. Need for culturally appropriate and context-specific solutions. Data privacy and security concerns in resource-limited settings. The potential is immense, but the journey requires careful navigation. By embracing AI responsibly, we can bridge healthcare gaps and move closer to achieving universal health coverage in LMICs. What are your thoughts on addressing these LMIC-specific challenges in AI adoption for healthcare? #AIInHealthcare #GlobalHealth #ResponsibleAI #HealthEquity #LMICHealthcare

Excellent session today on the Digital Health Most Wired Webinar. Speakers: 🔸Shez Partovi, MD, Chief Innovation & Strategy Officer and Enterprise Informatics Business leader, Philips 🔸Mike Mosquito, Emerging Technology and Innovation, Northeast Georgia Health System Moderator: 🔸Frank Cutitta, Senior Strategist, CHIME's Digital Health Insights and Producer of Health Stealth Radio This panel of experts shed light on Leveraging AI to Reduce Cognitive Overload and Improve Outcomes Through Clinical Decision Modeling. Stress and burnout caused by the sheer volume of clinical data are often experienced by front-line caregivers. Advanced AI algorithms could serve as cognitive filters to assure that clinicians only receive laser-focused insights "in the moment" without all the noise. This new generation of AI-powered clinical decision modeling will help reduce stress while increasing productive time engaging in the work of caring for patients. Health systems need to partner with technology providers to focus on their most critical areas of need and opportunity. For technology providers there needs to be a laser focus on solving their customers' problems (co-creation) and less emphasis on selling products. Some very interesting highlights of current projects and focus areas across a variety of organizations. This reminded me of the quote: "The future is already here; it's just not evenly distributed." But in reality, we have a long way to go, it requires scalability and simplicity. Thanks to the amazing speakers, Shez Partovi MD, Mike Mosquito, CHCIO, MBA, PMP, CDH-E, and Moderator Frank Cutitta for the insightful and practical discussion! #DigitalHealth #AI #GenAI #ClinicalDecisionModeling #ReduceCognitiveOverload #ImproveOutcomes #Healthcare #PatientCare

With the incoming government I’m super excited to see how both AI and Data can be deployed in our health & social care system! Two facts that probably aren’t going to change any time soon: 1 – Even though healthcare funding in the UK is at an all-time high, so are the costs of services. 2 – Across the sector headcount is a problem with most hospitals/trusts are running at a 20% vacancy ratio! I’ve had heaps of client conversations in the past few weeks and there seems to be a general consensus with those working in the space that the impact of these issues can be stemmed with a heavier investment in AI & Data! From accelerating drug discovery to optimizing resource allocation, removing the need for in-person appointments, speeding up diagnosis and catching health problems at the earlier, cheaper, preventative stage. Of course there is also the huge opportunity for the organisation to harness the immense amount of personal data the NHS holds on our population! What are your thoughts on the role of AI and data in the future of the NHS? #AI #DataScience #NHS #Healthcare #FutureofHealthcare  

“The introduction of AI-based technologies in health care is not like going from typewriters to PCs; it’s much more dramatic and will permeate everything in our health care system. AI is transformative and senior health leaders and executives need to think about how to leverage AI to lead change in Canada’s health care system.” - John Hirdes, professor of Public Health Sciences at the University of Waterloo and Member of the Order of Canada. Read the full story about how our executive course, Leveraging AI to Improve Health Care in Canada, helps health leaders stay at the forefront of AI innovation: https://lnkd.in/gffRyxRs #AI #HealthCare #PublicHealth #AIInnovation

Ever wondered how many things the human brain can handle at once? 🤔 The answer is four! And did you know that the number of older people with multiple diseases is set to double by 2035? How will our healthcare workforce cope with this complexity? 🏥 Digital health technologies are the key to transforming healthcare from reactive to proactive care. At the Queensland Digital Health Centre, our multidisciplinary team is pioneering tools in clinical informatics, #AI, and #machinelearning to help clinicians manage digital health information effectively. Our healthcare workforce must be digitally capable, focusing on education rather than just training. Education equips them for an era of information abundance, enabling them to provide the empathy and expertise that machines can't. Our current healthcare workforce evolved in an era of information scarcity. We now need to equip them for information abundance, where we can rely on the advances artificial intelligence and machine learning give us. Using machines to help keep track of multiple things will enable our clinicians to focus on the care that machines will never be able to provide: empathy, expertise, and real conversations with patients. Want to learn more or apply for UQ’s Graduate Certificate in Clinical Informatics & Digital Health? 🌐 https://bit.ly/41bfhnZ #DigitalHealth #HealthcareInnovation #ProactiveCare

A new athenahealth survey dove into one of the most persistent problems facing the health care industry: workforce burnout. 93% of physicians surveyed said they feel burned out on a regular basis; a majority (56%) said they have considered leaving the field or no longer seeing patients. While this discontent in the industry is nothing new, many providers are eyeing a new hope for combating it: artificial intelligence. 83% of those surveyed said AI has the potential to reduce many of the issues facing health care, reflecting the widespread interest in advanced technological solutions (particularly with logistical and administrative work) that lessen the burden on providers. New applications of AI, like our own AI and ambient tech-powered Apella, allow care teams to combat burnout by spending less time on the logistics, and more time on patient care, which we all know is the work they’d rather be doing. #healthcare #HealthcareonLinkedIn https://lnkd.in/ejSdFV45

A great overview by Rahul Kalia in Economist Impact of how IBM Consulting, in partnership with University Hospitals Coventry and Warwickshire (UHCW) NHS Trust, is helping transform #healthcare and improving #patientexperience with #AI. 'Disrupting Healthcare Responsibly', our teams helped deliver a 60% reduction in DNAs, freeing up the equivalent of 36,000 appointments, and showing how a scaled approach to Gen-AI-enabled productivity could help significantly reduce #electivebacklog, increase access and equity. This approach is now replicated in 3 other NHS hospitals with similar results, showing the power of data in transforming services. Read more at: https://lnkd.in/evEm5Eqm   #HealthcareInnovation #AI #PatientCare #digitaltransformation Mark Davies Kerman Jasavala Russ Latham Nicole Mather Polly Bishop Emily Lawson Richard Samuel Penny Dash

Creating impact with AI through workforce enablement, still a major draw card for Health services, more can be done to uplift it's potential. GenAI in Public Health Systems - "Integration of new technologies into any profession is best accomplished when the technology helps the workforce in completing important daily tasks." #healthcare #GenAI #AI