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
- Flynn AJ, Taksler G, Beck, A, Boisvert P, Boonstra P, Caverly T, Gittlen N, Meng G, Raths B, Friedman CP. CBK Model Composition Using Paired Web Services and Executable Functions: A Demonstration for Individualizing Preventive Services Learning Health Systems August 3, 2022. https://doi.org/10.1002/lrh2.10325.
- Flynn AJ, Fortier C, Maehlen H, Pierzinski V, Runnebaum R, Sullivan M, Wagner J, Stevenson JG. A strategic approach to improving pharmacy enterprise automation: Development and initial application of the Autonomous Pharmacy Framework. American Journal of Health-System Pharmacy. 2021 Apr 1;78(7):636-45. https://pubmed.ncbi.nlm.nih.gov/33585909/.
- Flynn AJ, Farris G, Meng G, Allan J, Kurosu S, Lampa N, Sasagawa K. Engaging pharmacists to crowdsource a fine-grained medication risk scale: An initial measurement study using paired comparisons of medications. Proceedings of the AMIA Annual Symposium 2019. https://pubmed.ncbi.nlm.nih.gov/32308836/.
A list of all publications can be found here.