Ziad Obermeyer

University of California, Berkeley — United States

Economics, Econometrics and Finance · Social Sciences

41h-index16.2kcitations106works9.82yr avg
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Research Topics

Healthcare Policy and Management(18), Machine Learning in Healthcare(18), Emergency and Acute Care Studies(16), Healthcare cost, quality, practices(15), Health Systems, Economic Evaluations, Quality of Life(12)

Publications106 total

AI-Enhanced Handheld ECGs to Screen for Prior Myocardial Infarction in Rural India
SSRN Electronic Journal·2026Open Access
Potential for Algorithmic Bias in Clinical Decision Instrument Development
npj Digital Medicine·2025· 1 citedOpen Access
Bedside to Bench — AI and the New Science of Medicine
New England Journal of Medicine·2025
A machine learning model using clinical notes to identify physician fatigue
Nature Communications·2025· 2 citedOpen Access
Systematic Bias in Clinical Decision Instrument Development: A Quantitative Meta-Analysis
2025Open Access
Using Large Language Models to Promote Health Equity
NEJM AI·2025· 14 cited
Race adjustments in clinical algorithms can help correct for racial disparities in data quality
Proceedings of the National Academy of Sciences·2024· 15 citedOpen Access
The Health Costs of Cost Sharing
The Quarterly Journal of Economics·2024· 46 citedOpen Access
Using large language models to promote health equity
arXiv (Cornell University)·2023Open Access
Clinical Notes Reveal Physician Fatigue
arXiv (Cornell University)·2023Open Access
Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review
Health Affairs·2023· 70 citedOpen Access
Considerations for addressing bias in artificial intelligence for health equity
npj Digital Medicine·2023· 267 citedOpen Access
Implications of predicting race variables from medical images
Science·2023· 27 cited
Receipt of Medications for Chronic Disease During the First 2 Years of the COVID-19 Pandemic Among Enrollees in Fee-for-Service Medicare
JAMA Network Open·2023· 8 citedOpen Access
Race Corrections in Clinical Algorithms Can Help Correct for Racial Disparities in Data Quality
2023· 5 citedOpen Access
Solving medicine’s data bottleneck: Nightingale Open Science
Nature Medicine·2022· 37 citedOpen Access
Overuse and Underuse of Health Care: New Insights From Economics and Machine Learning
JAMA Health Forum·2022· 6 citedOpen Access
The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It
Health Affairs·2022· 56 citedOpen Access
An Economic Approach to Machine Learning in Health Policy
SSRN Electronic Journal·2022· 3 citedOpen Access
Predictors of high-risk unscheduled return visits to the pediatric emergency department: a case-control study
Saudi Journal of Emergency Medicine·2021Open Access
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Frequent Co-authors

Sendhil Mullainathan(13), David Cutler(5), Brian W. Powers(4), Maggie Makar(4), Teri Reynolds(4), Emmanuela Gakidou(3), Jon Kleinberg(3), Samer Abujaber(3), Susan D. Block(3), Christopher J L Murray(3), Amitabh Chandra(3), Atul J. Butte(2), Majid Ezzati(2), Paul Elliott(2), Ravi B. Parikh(2), Evan Flack(2), Maithra Raghu(2), Katy Blumer(2), Jeremiah D. Schuur(2), Hani Mowafi(2)