Steve Miff

It seems that the government is serious about finally realizing the vision of true health data interoperability. The attached Point-of-Care Partners blog post describes the recently released HTI-2 Proposed Rule which is another step in the fruition of that vision. Point-of-Care Partners can help your healthcare organization stay ahead of the waves of regulatory activity around interoperability. Let me know if you are interested in learning how.

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My recent Forbes article tells how Cleveland Clinic is applying data, analytics, and AI to innovate in healthcare. Thank you to Albert Marinez Ben Shahshahani & Rohit Chandra for sharing your incredible story. #Healthcare #Innovation #AI #AILeadership #data #dataleadership #chiefdataofficer #chiefAIofficer

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How can we leverage Patient Experiences to Drive Health and Care Outcomes? What is "Authentic" Value-Based Care? In our recent Health Data Management article, Rachel Biblow and I discuss transforming health and care delivery by prioritizing “authentic” value, which emphasizes patient experiences and health outcomes (in relationship to financial results). This approach requires healthcare providers to focus on what matters most to patients. Read the full article: https://lnkd.in/e7fQihgw Initial Steps to Drive Authentic Value: 🌟 Adopt a human-centered culture by prioritizing individual health needs and goals >> Partner with individuals across the health and care continuum to support progress toward achieving goals. Operationalize experiences that enable better outcomes. 🌟 Develop an integrated data strategy and utilization plan >> Implement tools to capture patient perspectives on health status and healthcare experiences, ensuring that care aligns with patient needs. Integrate data for continuous improvement through collection, analysis, and intentional change to transform experience and health outcomes. 🌟 Leverage technology innovations >> Adopt relevant digital tools, including, AI for personalized care, improved communication, and operational efficiency. Determine pragmatic applications of technology that enable outcomes that matter to patients. By focusing on these elements, health and care organizations can earn trust, strengthen partnerships, enhance health outcomes, and achieve a more sustainable system. ************ SIGN-UP: Free monthly digest:  “Transforming Health and Care Experiences with Research and Actionable-Insights" https://lnkd.in/eWG5XSEd ************ ATTEND: Patient Experience Symposium, Boston, Sept 16-18, 2024 https://lnkd.in/eNKSpJ8G ************ PUBLISH: in the Special Collection on "Exploring the Relationship between Patient Experience, Health Outcomes, and Value-based Care" https://lnkd.in/ew4gEgz7 (A Collaboration between Journal of Patient Experience and International Consortium for Health Outcomes Measurement (ICHOM) ************ #PatientExperience #PatientReportedOutcomes #PatientEngagement #HealthCareExperience #ClinicianEngagement #PREMs #PROMs #VBC #VBHC #ValueBasedHealthCare #ValueBasedCare

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I had the pleasure of contributing to this book, Digital Health, Telemedicine and Beyond. It has a broad list of topics including the basics of services, reimbursement, and regulations. I wrote the "Coding for Telehealth/CMS guidelines" chapter. I still don't believe this myself, but my most interesting and impactful work has been on reimbursement and regulation. Here I describe some of it based on the behemoth that is #CMS. Edited by Dipu Patel, DMSc, MPAS, ABAIM, PA-C as she describes it: "With a strong focus on case studies and patient outcomes, this title provides an overview of digital medicine, terms, concepts, and applications for the multidisciplinary clinical practitioner. Chapters provide a concise, yet comprehensive understanding of digital health, including telemedicine, mHealth, EHRs, and the benefits and challenges of each. The book gives insights on risks and benefits associated with storing and transmitting patient information via digital tools and educates clinicians in the correct questions to ask for advocacy regarding state laws, scope of practice, and medicolegal implications." I'm joined with a number of incredible authors. Link below to pick up a copy: Harvey | Amit | Susan | Sonia | Jeremy | Derek | Kathryn | Nathan | Tom | Lisa | Marty | John | Dr Stefan #ai #rpm #rtm #dtx #telehealth #telemedicine #digitalhealth #digitalmedicine #aiinmedicine #healthcare

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Two new proposed rules could be a game changer for health data interoperability... In early July (published in Federal Register August 5), ASTP/ONC released all 1,067 pages of its proposed HTI-2 rule, in which it proposed expanding its Certification Program to complement CMS' FHIR APIs. This included creating criteria impacting payers and public health IT. It reminded me of a line of questioning from ONC's electronic prior authorization RFI from January 2022, where the agency asked nearly ten questions about what certification criteria should look like to facilitate electronic prior authorization processes. The thought then, and even at the publication of HTI-2, was that certified modules wouldn't help payers much because payers are not the ones implementing modules. The vendors who provide the administrative platforms are. As it stands, there are only disincentives to certifying under the program for payer health IT vendors (i.e., bringing them under the information blocking rule), so payers are really at the mercy of their vendors. This is in stark contrast to the impact the program has on EHR developers. That was until HHS' ASFR and ASTP/ONC released another proposed rule on August 9 that would require all providers and health plans (that means you, MA plans) that receive HHS funding to use certified health IT or adhere to ONC standards at a minimum. So, what does this mean? Payers who receive HHS funding could now have the regulatory support to require their vendors to be certified... If passed as written, payer health IT vendors that want to maintain their contracts with federally funded plans would not be able to "unreasonably limit" the exchange, access, or use of electronic health information - including charging an unreasonable fee. They could be penalized up to $1M per violation if they do. This is a huge deal. Luckily, the team at Maverick Health Policy summarized both proposals (linked below). If you need help navigating these changes, we're here to help. HTI-2: https://lnkd.in/g4McbwMy Acquisition Regulation: https://lnkd.in/gWY--VPb

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As the healthcare continues to evolve, it's essential to center equity in AI initiatives to mitigate disparities. By highlighting rural voices and perspectives, we can better understand the unique challenges faced by underserved populations and tailor AI solutions to meet their specific needs. #AI #Health #Healthcare

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Nice sum up on the #privateequity investments in #healthcareservices “healthcare services are increasingly integrating technology into workflows and becoming more attractive to tech investors” - Dan Shoenholz Private Equity Leader at EY-Parthenon. Technology has immense potential to amp up the quality of care, access and bridge gaps created by labor shortages through AI, automation and richer data science prediction tools.

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Nina Shore, Principal Consultant at TPHC, joined a panel on using data to deliver proactive population health at yesterday's #IntegratedCareDeliveryForum2024. Thank you to Public Policy Projects for having us! There were rich discussions on the value of #populationhealth tools, including population segmentation and risk stratification to identify and engage higher risk populations early through personalised and preventative interventions.   Nina reflected on growing demands on the system, and the urgency with which we need to make that cultural shift to a population health approach at all levels of the system, including ICBs, Trusts, and place-based partnerships. Only then can we drive forward resilient and sustainable care that is integrated and person-centred for local populations. ❓ What are your experiences or tips on delivering a population health approach? 💡 See this case study on our #Consultancy team's work to lead a consortium that developed and delivered the National Performance and Population Health Dashboard: https://lnkd.in/dq9PYmFi

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In this article, the authors discuss apply the PRISM framework w/ an equity lens to assess implementation & context, emphasizing the importance of representation, unintended consequences, capacity building, and sustained assessment of equity. 📎 https://lnkd.in/g26pvE_n

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This is a great article that summarizes what AI is, risks, benefits and applications in healthcare shared after the recent American College of Healthcare Executives Boston Cluster on AI in Healthcare.

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AI is everywhere in healthcare right now, but are we expecting too much, too soon? As articulated in this recent Forbes article by Spencer Dorn, while AI holds tremendous promise, the real gains will come from thoughtful, measured integration. For those of us focused on shaping leadership teams in healthcare, it’s a reminder that innovation needs to be balanced with practicality. Key takeaways: 1️⃣ Prioritize evidence, not hype: AI is not a cure-all. Leaders need to pilot AI solutions carefully and make sure they’re backed by solid evidence. Are you integrating tools that truly enhance your ability to provide care, or are you chasing the next big thing? 2️⃣ Fix the system first: AI can help streamline processes, but it won’t fix underlying inefficiencies. Leaders need to take a systems approach—optimizing workflows and addressing bottlenecks before investing heavily in automation. 3️⃣ Look for small wins: Instead of waiting for the “AI revolution,” focus on the incremental gains AI can offer today—whether it’s reducing the administrative burden on clinicians or enhancing patient engagement. It’s the small steps that can create lasting impact. My colleagues in our Information Technology practice recently produced a comprehensive report on AI Leadership in Healthcare, including emerging and evolving trends. (Thanks Hillary Ross , Zachary Durst, Nicholas Giannas , Scott Dethloff, and Wendy Kerschner!) Check it out --> Link in comments 👇 #HealthcareLeadership #AIinHealthcare #ImpactfulLeadership

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Interesting perspective on #TechnologicalDebt in health care by Dave Lamar focused on the provider market, but we seem the same issues within state depts and payers. While good data governance practices are key, there must be a better way to solve this common - if not universal - challenge in health care, if only by offloading some of the administrative responsibilities that require the individual management and administration of no-value-add administrative functions. #healthdata

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As the healthcare industry continues to embrace the power of Artificial Intelligence (AI), two articles recently released from Becker’s Hospital Review caught my attention, shedding light on the crucial factors for successful, and meaningful, AI integration in healthcare. Article 1: "Beyond the Hype: Responsible AI Strategies for Healthcare“ This insightful piece emphasizes the importance of assessing generative AI solutions with a discerning eye. It delves into the nuances of AI terminology, highlights transformative use cases in healthcare, and outlines five crucial factors for healthcare leaders to consider when evaluating AI vendors. From fine-tuned AI tailored for healthcare workflows to the significance of a responsible approach to AI ethics, this article provides a comprehensive guide for navigating the AI landscape in healthcare. (Link: https://lnkd.in/gwCy4U2Y) Article 2: " Making AI Actionable in Healthcare – a high-level guide" In this article, the focus shifts to the ecosystem necessary for successful AI deployment in healthcare, emphasizing the pivotal roles of people, process, and technology. Highlighting the importance of multidisciplinary team engagement, seamless integration into existing workflows, and ethical considerations, this piece provides a roadmap for healthcare organizations to maximize the impact of AI while prioritizing patient care. (Link: https://lnkd.in/gYzD-KWQ) Both articles underscore the transformative potential of AI in healthcare while cautioning against the pitfalls of unchecked hype and rushed implementation. By prioritizing responsible AI adoption, fostering collaboration across disciplines, and optimizing workflows, healthcare organizations can harness the full potential of AI to enhance patient outcomes and streamline clinical workflows.

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