Healthcare That Learns: Value-Based Care, Artificial Intelligence, and the Learning Health System provides a timely and pragmatic exploration of how healthcare organizations can transform into continuously learning systems - a shift rapidly becoming imperative as value-based care accelerates and artificial intelligence reshapes practice. The book provides a unified roadmap for transforming healthcare systems into continuously learning organizations capable of delivering true value-based care.
Healthcare today faces converging pressures: unsustainable costs, uneven outcomes, payer demands for value, and disruptive advances in AI. At the same time, the 17-year "know-do gap" between evidence and practice undermines progress. Healthcare That Learns offers a blueprint for bridging this gap by uniting three critical forces - value-based care, artificial intelligence, and the learning health system framework.
Unlike works that treat AI or quality improvement in isolation, this book integrates them into a single, practical framework. Readers will gain actionable strategies to close evidence-practice gaps, improve outcomes, and reduce waste. Key themes include micro-to-macro learning cycles, knowledge transfer, sociotechnical alignment, AI governance, and equity by design. Each chapter begins with a real-world vignette and translates concepts into practical tools. Topics span the urgency of value-based care, foundations of learning health systems, enabling technologies (data, AI, generative AI), leadership and cultural change, ethics and equity, and case-based roadmaps for implementation.
Autorentext
Dong-Gil Ko, PhD, is a professor at the University of Cincinnati in the Department of Operations, Business Analytics, and Information Systems, Carl H. Lindner College of Business. He is the Founder and Director of the HealthAI Research Lab and a Co-Founder of the Korea Association for Information Systems (KrAIS).
Before entering academia, Dr. Ko spent nearly a decade in industry, where he developed and implemented enterprise systems that continue to inform his research. His work bridges information systems, operations management, artificial intelligence, clinical informatics, and value-based care through the lens of organizational learning and knowledge management, advancing the design of AI-enabled Learning Health Systems that continuously translate data into knowledge and knowledge into improved care.
Dr. Ko serves as Lead Guest Editor and Associate Editor for the Journal of Medical Internet Research and has served on the editorial boards of Information Systems Research and Information & Management.
Umberto Tachinardi, MD, MSc, is Chief Health Digital Officer at UC Health and a global leader in health informatics and digital innovation.
Umberto Tachinardi, MD, MSc, is Senior Vice President and Chief Health Digital Officer at UC Health, Professor and Chair of the Department of Biostatistics, Health Informatics, and Data Sciences, and Associate Dean at the University of Cincinnati College of Medicine. A physician, informatician, and internationally recognized leader in digital health, Dr. Tachinardi has more than three decades of experience advancing health IT strategy, research informatics, and clinical data integration across the United States and Brazil. His work bridges medicine, public health, and information science, with a focus on building secure, sustainable, and innovative digital infrastructures that accelerate discovery and improve patient care.
Dr. Tachinardi has been a driving force in shaping the role of digital leadership in academic health systems, from designing early hospital information systems in Brazil to directing research informatics at major U.S. medical centers. He has published widely in premier journals, including the Journal of the American Medical Informatics Association and BMJ Open Diabetes Research & Care, and has led federally and state-funded initiatives on healthcare delivery, informatics, and population health. At UC Health, he champions the integration of advanced analytics, clinical informatics, and digital innovation to strengthen value-based care and foster a culture of continuous learning in healthcare.
Brett M. Kissela, MD, MS, is Director of the UC Gardner Neuroscience Institute, and Executive Vice-Dean and Senior Associate Dean for Clinical Research at UC College of Medicine., and Chief of Research Services for UC Health. He served as Albert Barnes Voorheis Endowed Chair and Professor of Neurology at the University of Cincinnati College of Medicine for 11.5 years, recently stepping down to assume the UCGNI Director role.
Dr. Kissela, is a leading international expert on stroke. He has collaborated on numerous NIH- and foundation-funded studies, including large-scale, population-based epidemiologic investigations into the trends in stroke incidence, recurrence, outcomes, and recovery. His research has focused particularly on the role of diabetes and other comorbidities in shaping patient prognosis. His work has been widely published in Stroke, Neurology, and JAMA, and has informed both clinical practice and health policy.
A dedicated educator and mentor, he has directed fellowship and residency programs and co-directed the Stroke Recovery Center at Drake. He is a fellow of the American Heart Association Stroke Council, the American Academy of Neurology, and the American Neurological Association, and has been recognized with honors including the American Academy of Neurology's Michael S. Pessin Stroke Leadership Prize. At UC, he continues to shape the future of neuroscience through innovative research, clinical leadership, and education.