SYMPOSIUM: USING TAILORED POPULATION HEALTH DATA TO SUPPORT DECISION MAKING
Key challenges in presenting and interpreting population data will be addressed from multidisciplinary and policy perspectives. Specific examples presented will include: consumer informatics to support shared decision making and associated challenges, supporting providers in treatment and triage decisions in pneumonia, helping clinicians manage unfamiliar, complex cases, and informing policy using tailored models and simulations. Topics that will be explored include the natural tension that arises from using data about “many” to inform a decision for care of one single patient, concerns that arise among decision-makers about the data itself, ways that population data can impact uncertainty and generate new questions, and implications for empowering patients and providers through innovative displays of population level data.
Jorie M. Butler, PhD
University of Utah School of Medicine, Department of Internal Medicine, Division of Geriatrics
Assistant Professor, Department of Internal Medicine, Division of Geriatrics; Associate Director of Education and Evaluation, Geriatric Research Education and Clinical Centers (GRECC)
Qing Zeng, PhD
George Washington University
Professor
Barbara Jones, MD, MSc
University of Utah, Salt Lake City VA Health System and SLC "IDEAS" Center of Innovation
Assistant Professor
Matthew Samore, MD
Division of Epidemiology, University of Utah School and VA SLC "IDEAS" Center of Innovation
Chief, Division of Epidemiology, Professor of Medicine
School of Medicine
Michael A. Rubin, MD, PhD
University of Utah School of Medicine, Division of Epidemiology
Associate Professor of Medicine
Angela Fagerlin, PhD
University of Utah / Salt Lake City VA
Professor and Chair Population Health Sciences/Research Scientist