Amy SB Bohnert, PhD, MHS

 portrait of Amy Bohnert
Professor of Anesthesiology
Professor of Psychiatry
Executive Director, Pain and Opioid Research
Anesthesiology
Medical School and Professor of Epidemiology
School of Public Health
[email protected]
Available to mentor
Amy SB Bohnert, PhD, MHS
portrait of Amy Bohnert
Professor
  • Qualifications
  • Center Memberships
  • Recent Publications

  • Manage Your Profile

    • Qualifications
    • PhD
      Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, United States
      2005 - 2008

    Center Memberships
    • Center Member
      AI and Digital Health Innovation
    • Center Member
      Institute for Healthcare Policy and Innovation
    • Center Member
      University of Michigan Injury Prevention Center
    • Center Member
      Opioid Research Institute
    • Center Member
      Eisenberg Family Depression Center

    Recent Publications

     See All Publications
    • Journal Article
      Clinical decision support to reduce opioid prescribing at discharge for inpatients undergoing surgery (LESS Study): An interrupted time series analysis
      Rolfzen ML, Daniel K, Shah K, Reha C, Mascha EJ, Muellner M, Bicket MC, Brummett CM, Waljee JF, Frangakis SG, Bohnert AS, Bartels K. 2026 Apr 21;
    • Journal Article
      High-Deductible Health Plan Enrollment and Buprenorphine Dispensing.
      Chua K-P, Bohnert AS, Conti RM, Lagisetty P, Nuliyalu U, Nguyen TD. JAMA Netw Open, 2026 May 1; 9 (5): e2615550 DOI:10.1001/jamanetworkopen.2026.15550
      PMID: 42207512
    • Journal Article
      Opioid Consumption and Fills after Surgery in Adults on High-Dose Prescription Opioids.
      Bicket MC, McGee MF, Gunaseelan V, Englesbe MJ, Lagisetty P, Brummett CM, Bohnert A, Li Y, Waljee JF. J Am Coll Surg, 2026 Mar 13; DOI:10.1097/XCS.0000000000001919
      PMID: 41823296
    • Preprint
      Third places visits and well-being: insights from longitudinal passive sensing data
      Fang Y, Saulnier K, Cleary J, Wu Z, Bohnert ASB, Sen S. 2026 Mar 15; medRxiv, DOI:10.64898/2026.03.12.26348188
    • Preprint
      Personalized Insights Derived from Wearable Device Data and Large Language Models to Improve Well-Being.
      He K, Fang Y, Frank E, Li C, Bohnert A, Sen S, Wang M. 2026 Mar 4; DOI:10.64898/2026.03.03.26347299
      PMID: 41822700
    • Journal Article
      Precision approaches for scalable digital and clinic-based interventions in mental health.
      Bohnert ASB, Fritsche L, Sen S. Biol Psychiatry Cogn Neurosci Neuroimaging, 2026 Jan 19; DOI:10.1016/j.bpsc.2026.01.004
      PMID: 41565105
    • Journal Article
      Sociodemographic and clinical predictors of digital mental health intervention engagement among treatment-seeking psychiatric outpatients
      Horwitz AG, Mills E, Nanwani R, Bohnert A, Sen S. Journal of Affective Disorders, 2026 Jan 29; 401: DOI:10.1016/j.jad.2026.121237
    • Presentation
      Potential Harms and Benefits of Tapering Among People Receiving Opioids for Chronic Pain
      Bohnert A. 2025 Dec 19;

    Featured News & Stories
    News Release

    Eight U-M researchers win PECASE awards

    Three U-M medical researchers, and five others from the U-M faculty, have received one of the nation's top honors for scientists and engineers, as announced by the White House.
         female surgeon in blue cap scrubs and mask tying mask and looking up
    Health Lab

    Female representation sees improvement in high paying medical specialties

    The number of female residents getting into high paying surgical specialties has noticeably increased, research finds.
         Dart flying toward target precision medicine
    News Release

    From ‘trial and error’ to targeted precision: $17.9M grant accelerates U-M mental health research

    A new major grant aims to bring the same precision to mental health care for depression, anxiety and other psychiatric conditions that already exists for cancer and heart disease.
    Department News

    From ‘trial and error’ to targeted precision: $17.9M grant accelerates U-M mental health research

    U-M’s $17.9M COMPASS study uses tech, genetics, and data to personalize mental health care and speed recovery for patients before treatment begins.