Andrew Wong
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About
Dr. Wong's research applies artificial intelligence (AI) and machine learning to solve problems in clinical practice, hospital operations, and medical education. His expertise in the development and validation of provider-facing AI tools to aid in clinical diagnosis and prognostication has been applied to sepsis prediction, delirium prevention, antibiotic stewardship, and more. His focus in post-implementation AI governance has sought to safely integrate clinical AI tools in an effective and equitable manner. His work has been nationally recognized and was recently cited in the White House Blueprint for an AI Bill of Rights.
Links
linkedin IHPI
Qualifications
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Internal Medicine ResidencyUniversity of Michigan, Internal Medicine, Ann Arbor, United States
Residency
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Chief Medical ResidencyUniversity of Michigan, Ann Arbor, United States
Chief Resident
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MSUniversity of Michigan, Ann Arbor, United States
2025
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MDUniversity of California, San Francisco, San Francisco, United States
2020
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BAUniversity of California, Berkeley, Berkeley, United States
2016
Research Overview
Health Informatics, Artificial Intelligence, Machine Learning, Medical Education
Recent Publications
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Alrubaie N, Burns ML. 2026 Jan 30;Journal ArticleExploring Gamification of the Incentive Spirometry Tracker Device A Survey of Patients, Providers, and Healthcare Employees
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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): e260181Journal ArticleMulticenter Prospective Validation of an Updated Proprietary Sepsis Prediction Model.
DOI:10.1001/jamanetworkopen.2026.0181 PMID: PMC12949446 -
Wong A, Nallamothu BK, Longhurst CA, Singh K. npj Health Systems, 2026 Jan 29; 3 (1): 9Journal ArticleLeveraging AI to reduce operational healthcare costs: lessons from other industries
DOI:10.1038/s44401-026-00070-7 -
Gamble D, Wong A, Baduashvili A. Journal of General Internal Medicine, 2026 Jan 1;Journal ArticleCracks in the AI Crystal Ball: Why Clinical Prediction Tools Fall Short in the Real World
DOI:10.1007/s11606-026-10601-5 -
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. Journal of Clinical Monitoring and Computing, 2022 Oct 1; 36 (5): 1367 - 1377.Journal ArticleOpal: an implementation science tool for machine learning clinical decision support in anesthesia
DOI:10.1007/s10877-021-00774-1 PMID: 34837585 -
Wong A, Cao J, Lyons PG, Dutta S, Major VJ, Ötleş E, Singh K. JAMA Network Open, 2021 Nov 19; 4 (11):Journal ArticleQuantification of Sepsis Model Alerts in 24 US Hospitals before and during the COVID-19 Pandemic
DOI:10.1001/jamanetworkopen.2021.35286 PMID: 34797372 -
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. JAMA Internal Medicine, 2021 Aug 1; 181 (8): 1065 - 1070.Journal ArticleExternal validation of a widely implemented proprietary sepsis prediction model in hospitalized patients
DOI:10.1001/jamainternmed.2021.2626 PMID: 34152373 -
Young AT, Vora NB, Cortez J, Tam A, Yeniay Y, Afifi L, Yan D, Nosrati A, Wong A, Johal A, Wei ML. Pigment Cell and Melanoma Research, 2021 Mar 1; 34 (2): 288 - 300.Journal ArticleThe role of technology in melanoma screening and diagnosis
DOI:10.1111/pcmr.12907 PMID: 32558281