IMPROVING LIVES THROUGH THE BETTER USE OF MEDICINES

Welcome to the Department of Clinical Pharmacy. Our faculty are pioneering new approaches to improving lives through better use of medicines with collaborative health services, precision pharmacotherapy, and translational research. We provide direct patient care through innovative, nationally recognized service models, and are advancing the profession with the next generation of educators and innovators through our PharmD Curriculum, Pharmacy Residency Programs, Clinical Pharmacy Translational Science PhD, and Clinical Pharmacy Translational Science Post-Doctoral Fellowship Program.

Learn more about our Ambulatory Care Enrichment (ACE) Program [register by 5/28/21]

Apply now for our Racial Equity to Advance Community Health (REACH) Clinical Pharmacy Fellowship

Faculty Spotlight

Bo Wen photo

Corey A. Lester is a Research Assistant Professor who joined Michigan in 2018. He is a medication safety expert using pharmacy informatics tools to improve the delivery of healthcare. Dr. Lester received a PharmD from the University of Rhode Island in 2012 and completed a PGY-1 Community Practice Residency at Virginia Commonwealth University. He received an MS and PhD in social and administrative sciences from the University of Wisconsin-Madison, School of Pharmacy with a Minor in Industrial and Systems Engineering.

He leads the Medication Data Science (MeDS) lab in the College of Pharmacy. The MeDS lab studies the effect of machine learning and other forms of artificial intelligence on provider well-being, health outcomes, patient experience, and costs (i.e., Quadruple Aim) in medication use systems. Dr. Lester partners with engineers, information scientists, statisticians, and clinicians from academia and industry in order to foster creative and disruptive innovations that improve human health. An informatics supported approach to the quadruple aim of medication use systems, when combined with domain knowledge expertise, leads to significant breakthroughs in both theoretical and applied research. His current work investigates how human-machine learning teams perform tasks together so that we can achieve routine, reliable, and resilient improvements with electronic prescriptions and medication verification.