How Health Systems Work

Most health systems have spent the past two decades consolidating around acute care and shedding post-acute and senior living operations. Sun Health took the opposite path. In 2008, the organization merged its hospitals into Banner Health and restructured entirely around senior living, wellness coordination, and community-based health services. Today it operates five life plan communities in the Phoenix market, serves a growing population through its Sun Health at Home program, and is building toward an individualized health span model.In this episode, Jim Burke and Steven Pratt speak with Mark Reifsteck, vice chair of the Sun Health board and a retired healthcare executive, and Joe [Last Name], Sun Health's CEO for over three decades. The conversation covers how the transition from acute care was structured and why the financing model enabled it, what daily life and care coordination look like across Sun Health's campuses, how the at-home and Vibrant Life Choices programs extend services beyond campus walls, and where the organization sees its model heading over the next five to ten years, including connections to research institutes, value-based arrangements, and expansion to younger demographics.Whether you lead a health system evaluating its post-acute strategy, sit on a nonprofit board navigating mission and sustainability, or work in senior living operations, this episode offers a detailed look at an organization that built a successful model around the parts of the continuum most systems have abandoned.

Health systems depend on legal counsel for everything from physician agreements and regulatory compliance to middle-of-the-night operational crises. How that legal function is organized, and how in-house and outside counsel work together, has a direct impact on the quality and speed of the advice reaching executive teams.In this episode, Jim Burke and Steven Pratt speak with Susan James, a healthcare attorney who has moved between in-house general counsel positions and law firm practice multiple times over a career spanning decades. She is now at Hall Render, where she is also partially seconded to a health system building out its legal function.The conversation covers what in-house counsel gains from being physically embedded in operations, how general counsel should evaluate when to send work outside and select the right attorney, the distinction between treating outside counsel as a partner versus a commodity, what health systems lose when legal departments centralize or go fully remote, and the tension between the in-house standard of good enough and the law firm pursuit of precision. Susan also shares firsthand accounts from on-call rotations that illustrate why proximity to the client matters.Whether you manage a health system legal department, serve as outside counsel to health systems, or lead an organization that relies on both, this episode offers a practical perspective from someone who has operated on each side.

AI tools in clinical settings are getting easier to use, but ease of use does not mean safe use. Automation bias, hallucinations that look convincing, and the risk of de-skilling are real concerns as health systems move from pilot deployments to broader adoption.In this episode, Jim Burke, Steven Pratt, and Michael Batt speak with Dr. Nadia Smati, an internal medicine physician and faculty member at Houston Methodist who also serves as an advisor and capital partner working with healthcare AI startups. Dr. Smati has practiced under the UK's National Health Service, Kaiser Permanente, and Houston Methodist, giving her a comparative view of how different systems approach technology adoption and value-based care.The conversation covers how AI is influencing clinical decision-making beyond documentation, the de-skilling risk observed in procedure-based specialties, a practical framework for treating AI output like a trainee's note, vendor transparency and the evolving question of liability, and whether AI will close or widen the equity gap between well-resourced and under-resourced health systems.Whether you lead clinical operations, manage AI governance, or are thinking about workforce training strategy, this episode addresses the questions that follow deployment.

AI tools in health systems have moved well beyond ambient listening. Organizations with the infrastructure to adopt are now deploying AI across clinical documentation, coding support, order entry, chart summarization, and revenue cycle operations. The gap between those organizations and the ones still trying to begin is widening.In this episode, Jim Burke, Steven Pratt, and Michael Batt speak with Dr. Mark Mabus, CMIO and SVP of the EHR at Parkview Health in Fort Wayne, Indiana. Dr. Mabus is a practicing family medicine physician boarded in clinical informatics and was recognized by Epic as Physician of the Year in 2024.The conversation covers how Parkview scaled AI features through its existing vendor ecosystem, the cognitive shift from note authoring to note editing, monitoring for clinician autopilot behavior, building ROI cases that justify investment, and the growing inequity of AI access facing smaller and rural hospitals. It also addresses what independent and community physicians should keep in mind as they begin exploring AI tools outside of a large system's support structure.Whether you lead a health system weighing how to move from pilot to full deployment, or a smaller organization trying to figure out where to start, this episode offers practical guidance from someone who has done both.

Season 2 begins with a three-part series exploring one of the most significant transitions facing healthcare today: the rise of artificial intelligence in patient care and health system operations.In Part 1, Jim Burke and Steve Pratt are joined by healthcare attorney Mike Batt for a wide-ranging discussion on how AI is already reshaping clinical care, operational decision-making, governance, and healthcare strategy.The conversation examines how health systems are approaching AI adoption, the emergence of “shadow AI” inside organizations, the growing role of ambient listening technologies, and the challenges healthcare leaders face balancing innovation, safety, and liability.The episode also explores the widening gap between organizations with the infrastructure to implement AI effectively and those struggling to keep pace, particularly smaller community hospitals and rural providers.Rather than focusing on hype, this discussion centers on a practical question healthcare leaders must answer:What problem is the organization actually trying to solve with AI?Topics discussed in this episode include:• AI at the bedside and clinical decision support • Ambient listening and medical documentation • Human oversight and “human in the loop” governance • AI bias and clinical safety concerns • AI governance infrastructure inside health systems • The emergence of “shadow AI” • Risk, liability, and evolving regulatory concerns • AI adoption challenges for rural and community hospitals • The future of healthcare operations and patient careThis episode is Part 1 of the series:The AI Era in Healthcare: AI at the BedsideGuests:Jim Burke Steve Pratt Mike Batt#Healthcare #ArtificialIntelligence #DigitalHealth #HealthSystems #HealthcareLeadership