Department of Family Medicine
University of Michigan Medical School
1018 Fuller St.
Ann Arbor, Michigan 48104-1213
Lilly Pritula, 734-998-7346, email@example.com
Dr. Lorraine Buis is an Assistant Professor in the University of Michigan Department of Family Medicine where her research focuses on the use of communication technologies for health promotion and chronic disease self-management. Dr. Buis completed a postdoctoral research fellowship at the Ann Arbor VA Health Services Research & Development Center of Excellence after obtaining her PhD in Mass Media from the Michigan State University Department of Telecommunication, Information Studies, and Media. Additionally, she holds a Master’s of Science in Information degree with a specialization in Human Computer Interaction from the University of Michigan School of Information, as well as a Bachelor’s degree in Psychology from Michigan State University.
- MSI, Specialization in Human Computer Interaction, University of Michigan
Ann Arbor, Mich., 2004
- Ph.D., Mass Media, Michigan State University, East Lansing, Mich., 2007
- Postdoctoral Research Fellow, Ann Arbor Veterans Affairs Health Services Research
and Development (HSR&D) Center of Excellence, Ann Arbor, Mich., 2009
Latest Publications via PubMed
The 2018 cohort of Health Policy Scholars at the Center for Healthcare Research and Transformation (CHRT) includes six University of Michigan researchers and six Lansing-based policymakers, who recently completed a 15-week fellowship program designed to translate health research into policy.
U-M Family Medicine presents at 2017 North American Primary Care Research Group (NAPCRG) annual meeting
Several faculty members from our research division will present their work in at the 2017 NAPCRG annual meeting this fall. NAPCRG is the premier gathering of primary care researchers from around the world.
In a new study from assistant professor Lorraine Buis, mobile reminders boosted medication adherence in high blood pressure patients.
A pilot study, led by Dr. Lorraine Buis, will measure the impact of a new mobile health intervention on hypertension outcomes.