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Andrew Wong, MD, MS

Languages spoken: English

Academic Information

Departments Primary - Internal Medicine

Divisions: General Medicine

Academic Office Information

andrew.wong@utah.edu

Board Certification

  • American Board of Internal Medicine

Education History

Undergraduate University of California, Berkeley
BA
Professional Medical University of California, San Francisco School of Medicine
MD
Residency University of Michigan Health System
Resident
Chief Resident University of Michigan Health System
Chief Resident
Fellowship University of Michigan
Research Fellow
Graduate Training University of Michigan
MS

Selected Publications

Journal Article

  1. 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 (2026). Multicenter Prospective Validation of an Updated Proprietary Sepsis Prediction Model. JAMA Netw Open, 9(2), e260181.
  2. Wong A, Sussman JB (2025). Understanding Model Drift and Its Impact on Health Care Policy. JAMA Health Forum, 6(8), e252724.
  3. Wong A, Sussman J, Price N, Makar M, Li B, Yang J, James C (2025). The Data-Augmented, Technology-Assisted Medical Decision Making (DATA-MD) Curriculum: A Machine Learning and Artificial Intelligence Curriculum for Clinical Trainees. Acad Med, 100(9), 1035-1039.
  4. Schaaff C, Bains M, Davis S, Amalraj T, Frank A, Waselewski M, Chang T, Wong A (2025). Youth Perspectives on Generative AI and Its Use in Health Care. J Med Internet Res, 27, e72197.
  5. Bishara A, Wong A, Wang L, Chopra M, Fan W, Lin A, Fong N, Palacharla A, Spinner J, Armstrong R, Pletcher MJ, Lituiev D, Hadley D, Butte A (2022). Opal: an implementation science tool for machine learning clinical decision support in anesthesia. J Clin Monit Comput, 36(5), 1367-1377.
  6. Wong A, Cao J, Lyons PG, Dutta S, Major VJ, �tles E, Singh K (2021). Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic. JAMA Netw Open, 4(11), e2135286.
  7. Wong A, Otles E, Donnelly JP, Krumm A, McCullough J, DeTroyer-Cooley O, Pestrue J, Phillips M, Konye J, Penoza C, Ghous M, Singh K (2021). External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients. JAMA Intern Med, 181(8), 1065-1070.
  8. Bystritsky RJ, Beltran A, Young AT, Wong A, Hu X, Doernberg SB (2020). Machine learning for the prediction of antimicrobial stewardship intervention in hospitalized patients receiving broad-spectrum agents. Infect Control Hosp Epidemiol, 41(9), 1022-1027.
  9. Wong A, Young AT, Liang AS, Gonzales R, Douglas VC, Hadley D (2018). Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment. JAMA Netw Open, 1(4), e181018.

Review

  1. Hoffer EP, James CA, Wong A, Ranji S (2025). Artificial intelligence and medical diagnosis: past, present and future. [Review]. Diagnosis (Berl), 12, (4), 564-569.
  2. Young AT, Vora NB, Cortez J, Tam A, Yeniay Y, Afifi L, Yan D, Nosrati A, Wong A, Johal A, Wei ML (2021). The role of technology in melanoma screening and diagnosis. [Review]. Pigment Cell Melanoma Res, 34, (2), 288-300.