Tuesday, October 25, 2016: 1:30 PM - 3:00 PM
Bayshore Ballroom Salon F, Lobby Level (Westin Bayshore Vancouver)

Complex decisions in a clinical environment are rife with uncertainty. Population data can be a powerful resource to support decision-making. In this symposium we will discuss ways in which informatics, natural language processing, and big data analytics can be used to integrate population data to support both patients and providers in decision making in hospital and outpatient settings.  

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)

Jorie Butler is an Assistant Professor in the Department of Internal Medicine, Division of Geriatrics at the University of Utah, Associate Director for Education and Evaluation in the Geriatric Research and Clinical Center (GRECC) and a core Investigator in the Health Services Research and Development Center of Innovation (COIN) at the Salt Lake City VA. Trained as a Health Psychologist, she has studied ways to support patients and providers in decision-making using biomedical informatics and ways that personal characteristics influence experiences of decision-making. She has published in journals including Health Psychology, Academic Medicine, American Medical Informatics Association Proceedings, and Clinical Trials.

Qing Zeng, PhD
George Washington University

Dr. Zeng received her Bachelors in Engineering from Beijing Polytechnic University, a Masters in Computer Science from the University of Hawaii, and Masters and PhD degrees in Medical Informatics from Columbia. She joined the Decision Systems Group at Brigham and Womens Hospital as a research scientist with an Instructor appointment at Harvard, and rose through the ranks at Harvard to Associate Professor. In 2009 she was recruited to the University of Utah were she was at the time of election an Associate Professor of Biomedical Informatics. Dr. Zeng is currently a professor at the George Washington University, Department of Clinical Research and Leadership. She is the director of the Medical Informatics Center in the George Washington University and Associate Director of the Center of Health and Aging in the Washington DC Veterans Affairs (VA) Medical Center. Dr. Zeng’s research focuses on the field of informatics, especially in the areas of consumer health informatics research and natural language processing software development.

Barbara Jones, MD, MSc
University of Utah, Salt Lake City VA Health System and SLC "IDEAS" Center of Innovation
Assistant Professor

Barbara Jones is assistant professor of pulmonary and critical care medicine at the University of Utah and SLC VA Health System. Her research focuses on using informatics to understand and improve provider decision-making in pneumonia. She has participated in the development, implementation and evaluation of decision support for the management of pneumonia within the Intermountain Healthcare system. She has also examined national trends trends and patterns of antibiotic use for respiratory infections across the VA population. Her current research focuses on combining population analytics with informatics tools to simultaneously support and learn from clinical decision-making. Through her research, she aims to promote a standard of care that is adaptable to a variety of patients, settings and providers.

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

Dr. Samore is a highly innovative investigator whose work has changed paradigms in healthcare epidemiology and informatics. His research has a strong methodological and multi-disciplinary focus. He advanced understanding of the influence of antibiotic use on spread of resistant pathogens. He uncovered mechanisms of disease spread of healthcare-associated pathogens such as Clostridium difficile. He led seminal studies to develop evidence about interventions to reduce inappropriate antibiotic use and control healthcare-associated infection. He was the first researcher to describe a comprehensive approach to adverse medical device event surveillance in hospitals. He is a national leader in the use of electronic health record data to improve measurement of prescribing practices and patient outcomes. His contributions in research and mentorship have been thematic, productive, and catalytic in their impact. He led a remarkable expansion of health services research at the University of Utah.

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

Angie Fagerlin, PhD, trained as a cognitive psychologist and is currently a Professor at the Department of Population Health Sciences at University of Utah. She is also a research scientist at the Salt Lake City VA. Her research focuses on testing risk communication strategies and on the development and testing of decision aids. She has published well over 100 articles and has been funded by NIH, NCI, NSF, the VA, PCORI and the European Union.