Michael William Sjoding, MD, MSc

 SJODING_Michael4x5.jpg
Associate Professor of Internal Medicine
Program Associate, Emergency Medicine Research
Medical School
[email protected]
Available to mentor
Michael William Sjoding, MD, MSc
SJODING_Michael4x5.jpg
Associate Professor
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    • About

    Dr. Michael Sjoding’s research spans critical care epidemiology, health services research, translational science, and artificial intelligence. Using routinely collected electronic health records and imaging data, his work aims to improve diagnosis, care delivery, and outcomes for critically ill patients and patients with pulmonary disease. He led seminal investigations uncovering racial bias in pulse oximetry accuracy, work that transformed national understanding of device equity and patient safety and helped spur new U. S. Food and Drug Administration guidance on pulse oximeter pre-market evaluation. More broadly, his research has advanced the use of artificial intelligence in pulmonary and critical care medicine, including the development and evaluation of AI tools designed to support clinical diagnosis. He also led influential studies examining how clinicians interact with AI tools and how these tools can impact clinician decision-making.

    Center Memberships
    • Center Member
      Weil Institute for Critical Care Research
    • Center Member
      Institute for Healthcare Policy and Innovation
    • Center Member
      Center for Computational Medicine and Bioinformatics
    • Center Member
      e-Health and Artificial Intelligence Initiative
    • Center Member
      AI and Digital Health Innovation

    Recent Publications

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    • Journal Article
      Prone Positioning in a North American Cohort of Hypoxemic Patients on Mechanical Ventilation.
      Barker AK, Nishimura A, Nuppnau M, Buell KG, Lyons PG, Liao W-T, Park-Egan B, Schmid BE, Ingraham NE, Chaudhari V, Gao CA, Ortiz AC, Weissman GE, Chhikara K, Rojas JC, Amaral ACKB, Parker WF, Iwashyna TJ, Hager DN, Sjoding MW, Hochberg CH, Common Longitudinal ICU data Format (CLIF) Consortium . Crit Care Med, 2026 May 22; DOI:10.1097/CCM.0000000000007148
      PMID: 42171428
    • Journal Article
      Reply to Hamilton et al. and chen et al.
      Winner KM, Chanderraj R, Sjoding MW, Dickson RP. Am J Respir Crit Care Med, 2026 May 12; DOI:10.1093/ajrccm/aamag209
      PMID: 42118119
    • Journal Article
      Nudging implementation of low tidal volume ventilation: a stepped wedge, cluster randomized trial.
      Kerlin MP, Harhay MO, Li F, Small DS, Lu Y, Wang W, Fuchs BD, Mikkelsen ME, Tran T, Belk A, Silvestri JA, Klaiman T, Scott S, Levy E, Sjoding MW, Kohn R, Roberts KJ, Beidas RS, Halpern SD. Implement Sci, 2026 May 7; DOI:10.1186/s13012-026-01500-8
      PMID: 42098760
    • Proceeding / Abstract / Poster
      39: RESPONSE TO REPEATED ELECTRONIC HEALTH RECORD ALERTS IN THE ICU
      Hechtman R, Co Z, Barker A, Zimmerman C, Sjoding M, Prescott H. Critical Care Medicine, 2026 Mar 4; 54 (3S): DOI:10.1097/01.ccm.0001182348.37008.e8
    • Journal Article
      988: EVALUATING MECHANICAL VENTILATION PRACTICES FOR ADOLESCENTS AND YOUNG ADULTS IN RESPIRATORY FAILURE
      Gochenour K, Nuppnau M, Barker A, Sjoding M, Barbaro R, Flori H, Kohne J. Critical Care Medicine, 2026 Mar 4; 54 (3S): DOI:10.1097/01.ccm.0001185948.79788.85
    • Journal Article
      Impact of manual sepsis screening in hospitalized adult patients: A systematic review.
      Hechtman RK, Garamani N, Anabtawi YR, Rivas AG, Antonowicz B, Barker AK, Garcia T, Mulcahy R, Posa PJ, Sjoding MW, Prescott HC. J Hosp Med, 2026 Feb 15; DOI:10.1002/jhm.70284
      PMID: 41693215
    • Journal Article
      Multicenter Prospective Validation of an Updated Proprietary Sepsis Prediction Model.
      Wong A, Currey D, Schwinne M, Park-Egan B, Meyer S, Gutting A, Cao J, Khan S, Dantes R, Pan T, Buchman T, Singh K, Bhavani SV, Lyons PG, Sjoding MW, Tarabichi Y. JAMA Netw Open, 2026 Feb 2; 9 (2): e260181 DOI:10.1001/jamanetworkopen.2026.0181
      PMID: PMC12949446
    • Proceeding / Abstract / Poster
      Measuring Model Performance in the Presence of an Intervention
      Chen W, Sjoding MW, Wiens J. Proceedings of the Aaai Conference on Artificial Intelligence, 2026 Jan 1; 40 (45): 38296 - 38303. DOI:10.1609/aaai.v40i45.41169

    Featured News & Stories

         breathing tube in patient close up in hospital bed
    Health Lab

    Removal of ventilator breathing tube is delayed for some patients, posing health risks

    A study by Michigan Medicine determined how many patients who pass spontaneous breathing trials were extubated within six hours and what factors were associated with staying connected to a ventilator.
         floating AI-type images in red and blues and yellow on blue background
    Health Lab

    Racial differences in medical testing could introduce bias to AI models

    Black patients are less likely than white patients to receive certain medical tests that doctors use to diagnose severe disease, impacting artificial intelligence data. But researchers have found a way to correct the bias in these data sets.
         A close-up image of an oximeter
    Department News

    Behind the research: Racial disparities in pulse oximeter accuracy

    A research interest and a key mentor lead to work highlighting persistent problems with pulse oximeter accuracy in some patients.