Allen Flynn

Allen Flynn, PhD, PharmD

Assistant Professor, Department of Learning Health Sciences
Research Analyst
Technology Lead
Accepting HILS Students?
Yes (pharmacy informatics and medication information)

Biography

Following his graduation in 1993 as a Doctor of Pharmacy from the University of Michigan, Allen Flynn studied Computer Science. After working as a network analyst during the dot-com bubble he returned to pharmacy practice as a hospital staff pharmacist in 2003. Allen was promoted to Coordinator and became involved with several major health IT projects. For the next 9 years Allen held roles of increasing responsibility while developing his expertise in electronic health records and medication system safety. He earned his PhD in the School of Information at the University of Michigan where he conducts research on infrastructure to support routine ongoing learning about human health. Allen is an Assistant Professor in the Department of Learning Health Sciences at the University of Michigan Medical School where his team is developing a new digital library for computable biomedical knowledge. Allen has authored several publications in the domain of health informatics.

Areas of Interest

Research and scholarly interests: health informatics, learning systems, interoperability, advice-giving systems, expert systems, medication-related knowledge representation, medication use information, medication advice, and medication-related decision-making

Subject-matter expertise: computerized provider order entry, electronic prescribing, medication-related clinical decision support, theories of advice, management of health IT

Published Articles or Reviews

Selected publications:  
  • Flynn AJ, Patton J, Platt J (2015), "Tell It Like It Seems: Challenges Identifying Potential Requirements of a Learning Health System", proceedings of the 48th Hawaii International Conference on System Sciences.
  • Flynn AJ, Klasnja P, Friedman CP (2014), "MedMinify: An Advice-giving System for Simplifying the Schedules of Daily Home Medication Regimens Used to Treat Chronic Conditions", proceedings of the AMIA 2014 Symposium.
  • Woods AD, Mulherin DP, Flynn AJ, Stevenson J G, Zimmerman C R, Chaffee BW (2014). "Clinical decision support for atypical orders: detection and warning of atypical medication orders submitted to a computerized provider order entry system." Journal of the American Medical Informatics Association, 21(3), 569-573.