Wikipedia

Draft:Jonathan Weiner

Jonathan P. Weiner
CitizenshipAmerican
Alma materUniversity of Pennsylvania (BA)
University of Massachusetts Amherst (MS)
Johns Hopkins University (DrPH)
Known forCo-development of the Johns Hopkins ACG System; physician workforce research; population health informatics
AwardsAtlantic Fellow in Public Policy (1999)
AcademyHealth HSR Impact Award (2015, ACG team)
Scientific career
FieldsHealth services research, health policy, population health informatics
InstitutionsJohns Hopkins University

Jonathan P. Weiner is an American health services researcher and academic. He is a professor of health policy and management, and of biomedical informatics and data science, at Johns Hopkins University, and the founding director of the Johns Hopkins Center for Population Health Information Technology (CPHIT) at the Johns Hopkins Bloomberg School of Public Health.[1][2] He is a co-developer and the scientific director of the Johns Hopkins Adjusted Clinical Groups (ACG) System, a widely used risk adjustment and population health analytics tool.[3][4]

Weiner's research concerns the application of administrative claims and electronic health record data to health services research, predictive modeling, quality-of-care measurement, population health, and physician workforce planning.[1][5] His scholarly work has been cited approximately 19,000 times according to Google Scholar.[6]

Early life and education

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Weiner earned a Bachelor of Arts in human biology from the University of Pennsylvania in 1975, a Master of Science in health administration from the University of Massachusetts Amherst in 1977, and a Doctor of Public Health in health services research from the Johns Hopkins University School of Hygiene and Public Health (now the Johns Hopkins Bloomberg School of Public Health) in 1981.[1][7]

Career

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Weiner joined the Johns Hopkins faculty in 1981 and was appointed a full professor in the Department of Health Policy and Management at the Bloomberg School of Public Health in 1995.[1] He holds a joint appointment in the Division of Biomedical Informatics and Data Science at the Johns Hopkins School of Medicine.[2] From 1994 to 2011 he was deputy director of the Johns Hopkins Health Services Research and Development Center, and in 2011 he founded the Johns Hopkins Center for Population Health Information Technology, which he later co-directed with Hadi Kharrazi.[1][7]

Within Johns Hopkins he has directed several training programs, including the doctoral program in health services research and policy and the public health informatics certificate program, and he served as president of the Bloomberg School's Faculty Senate from 2003 to 2004.[1] He has advised federal and state bodies on health policy, including expert panels of the Centers for Medicare & Medicaid Services, the National Quality Forum, and the National Committee for Quality Assurance, and has been a frequent commentator on health policy for national broadcast media.[1][7][8]

Research

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Johns Hopkins ACG System

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Weiner is a co-developer of the Johns Hopkins Adjusted Clinical Groups (ACG) System, a case mix and risk-adjustment methodology that originated in research begun in the 1980s with Barbara Starfield, Donald Steinwachs, Christopher B. Forrest, and other Johns Hopkins colleagues.[9][4] The system uses diagnostic and pharmacy information from insurance claims or electronic health records to classify patient morbidity, and is applied to risk adjustment, capitation, care management, predictive modeling, and provider performance assessment by health systems, insurers, and government health agencies.[3][10] Johns Hopkins has described the ACG System as its largest technology transfer licensing activity; it is used in more than 20 countries and has been applied to the care of hundreds of millions of people.[3][5] Weiner led the ACG research and development enterprise as its chief executive from 1991 to 2014 and subsequently served as its scientific director.[9] In 2015, AcademyHealth presented its Health Services Research Impact Award to the ACG System, an award Weiner accepted on behalf of the ACG team.[4][11][12]

Risk adjustment and predictive modeling

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Much of Weiner's work has involved developing methods to adjust health care payments and predict costs and utilization based on patient morbidity. He led federally funded projects developing capitation risk adjusters for the U.S. Medicare and Medicaid programs, and the ACG methodology has been adapted and validated internationally, including analyses of national health insurance data in Taiwan, Spain, and other countries.[13][1] This research applies administrative and clinical data to identify high-risk patients and to support population-based care management.[10][14]

Physician workforce

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Early in his career, Weiner conducted influential research on physician workforce forecasting, using staffing patterns in health maintenance organizations and prepaid group practices to project national physician requirements. In a 1994 study in JAMA and a 2004 analysis in Health Affairs, he argued that widely predicted U.S. physician shortages were likely overstated, contending that more efficient, integrated models of care could meet population needs with fewer physicians.[15][16] The 2004 study drew coverage in the medical and trade press, including the American Medical Association's news service, and contributed to national debate over medical school expansion and graduate medical education funding.[17][16]

Population health informatics and data science/AI

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Through CPHIT, Weiner's more recent research has focused on integrating "big data" from clinical, insurance, public health, and social service sources for population health analytics and digital health interventions, including the incorporation of social determinants of health into predictive models.[10][1][18] During the COVID-19 pandemic, he led a large study comparing telehealth and in-person ambulatory care among commercially insured patients.[19] Weiner is also a frequent writer, researcher and lecturer on the appropriate ways that machine learning and Artificial Intelligence can be applied to the field of population health and health care.[20][21][22]

Books

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  • Stoline, Anne M.; Weiner, Jonathan P. (1993). The New Medical Marketplace: A Physician's Guide to the Health Care System in the 1990s. Baltimore: Johns Hopkins University Press. (Revised edition of a 1988 work.)
  • Weiner, Jonathan P.; Lewis, Richard; Gillam, Stephen (2001). US Managed Care and PCTs: Lessons to a Small Island from a Lost Continent. London: King's Fund.

Selected publications

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Awards and honors

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  • Kellogg Fellow, Hospital Research and Educational Trust (1980)[1]
  • World Health Organization Fellowship (1986)[1]
  • Delta Omega Public Health Honor Society (1995)[1]
  • Atlantic Fellow in Public Policy, awarded by the British government and based at the King's Fund, London (1999)[1]
  • Fellow of AcademyHealth[1]
  • AcademyHealth Health Services Research Impact Award, to the Johns Hopkins ACG System (2015)[4][12]

References

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  1. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 "Jonathan P. Weiner". Johns Hopkins Bloomberg School of Public Health. Retrieved 2026-06-26.
  2. 1 2 "Jonathan P. Weiner, DrPH". Johns Hopkins Biomedical Informatics & Data Science. Retrieved 2026-06-26.
  3. 1 2 3 "About Us". Johns Hopkins ACG System. Retrieved 2026-06-26.
  4. 1 2 3 4 "HSR Impact Award Past Recipients". AcademyHealth. Retrieved 2026-06-26.
  5. 1 2 "Jonathan P. Weiner". Health Affairs. doi:10.1377/hauthor20200902.330610 (inactive 12 July 2026). Retrieved 2026-06-26.{{cite web}}: CS1 maint: DOI inactive as of July 2026 (link)
  6. ↑ "Jonathan P. Weiner". Google Scholar. Retrieved 2026-06-26.
  7. 1 2 3 "Jonathan P. Weiner, DrPH". Johns Hopkins Medicine. Retrieved 2026-06-26.
  8. ↑ Weiner, Jonathan P.; Starfield, Barbara (1993-04-24). Health Care Reform Issues (television program). C-SPAN. Retrieved 2026-06-30.
  9. 1 2 "The History of the ACG System". Johns Hopkins ACG System. 18 January 2024. Retrieved 2026-06-26.
  10. 1 2 3 "Applying Big Data to Safeguard Public Health". Johns Hopkins ACG System. Retrieved 2026-06-26.
  11. ↑ "AcademyHealth Honors Johns Hopkins ACG Case-Mix System with 2015 Health Services Research Impact Award". Johns Hopkins Bloomberg School of Public Health. 2015. Retrieved 2026-06-26.
  12. 1 2 "Cheers: Johns Hopkins faculty and staff recognition". The Hub, Johns Hopkins University. 2015. Retrieved 2026-06-26.
  13. ↑ Chang HY, Weiner JP (2010). "An in-depth assessment of a diagnosis-based risk adjustment model based on national health insurance claims: the application of the Johns Hopkins Adjusted Clinical Group case-mix system in Taiwan". BMC Medicine. 8 7. doi:10.1186/1741-7015-8-7. PMC 2830174. PMID 20082689.
  14. ↑ Weiner JP (June 2007). "A Conversation With Jonathan Weiner, DrPH: Mixing Population-Based Care With Market Controls". Managed Care (Interview). Vol. 16, no. 6. Interviewed by Patrick Mullen. pp. 33–37. Retrieved 2026-06-30.
  15. ↑ Weiner JP (1994-07-20). "Forecasting the effects of health reform on US physician workforce requirement. Evidence from HMO staffing patterns". JAMA. 272 (3): 222–230. doi:10.1001/jama.1994.03520030064030. PMID 7912746.
  16. 1 2 "Study Questions Premise of Impending U.S. Physician Shortage". Johns Hopkins Bloomberg School of Public Health. 2004. Retrieved 2026-06-26.
  17. ↑ "Kaiser cited as staffing model". American Medical News. American Medical Association. 2004-02-23. Retrieved 2026-06-26.
  18. ↑ Weiner JP (June 2013). "A Conversation With Jonathan P. Weiner, DrPH: Information Technology Required". Managed Care (Interview). Vol. 22, no. 6. Interviewed by John Marcille. pp. 33–37. Retrieved 2026-06-30.
  19. ↑ Weiner JP, Bandeian S, Hatef E, Lans D, Liu A, Lemke KW (2021). "In-person and telehealth ambulatory contacts and costs in a large US insured cohort before and during the COVID-19 pandemic". JAMA Network Open. 4 (3): e212618. doi:10.1001/jamanetworkopen.2021.2618. PMC 7988360. PMID 33755167.
  20. ↑ Weiner, Jonathan P. AI and Population Health Analytics (video). YouTube. Retrieved 2026-06-30.
  21. ↑ Weiner, Jonathan P. PHAISE + HPM: Artificial Intelligence and Data Science to Improve Population Health (video). YouTube. Retrieved 2026-06-30.
  22. ↑ "Data Is Driving Johns Hopkins Researchers to Advance Public Health". GovCIO Media & Research. 22 October 2020. Retrieved 2026-06-30.
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