Overview
Michael Korvink, DrPH, PStat®, is a member of the Graduate Faculty in the Department of Biostatistics at Columbia University’s Mailman School of Public Health and serves full-time as Principal, Research and Innovation at Premier, Inc. Dr. Korvink has more than 20 years of experience in healthcare and pharmaceutical research, developing and applying quantitative methods to problems in healthcare delivery, population health, and health equity.
His research interests include health outcomes and risk adjustment, healthcare quality measurement, causal and systems-oriented approaches to healthcare research, and methods for analyzing large-scale administrative and observational healthcare data. He particularly enjoys collaborative, interdisciplinary research addressing healthcare quality and patient safety, maternal and perinatal health, healthcare utilization, clinical outcomes, and disparities in care.
Dr. Korvink received his Doctor of Public Health from the Medical College of Wisconsin’s Institute for Health and Humanity in 2026. His doctoral research used a systems-based, mixed-methods approach to examine social determinants of health in Western North Carolina. His community-engaged research includes collaborations with organizations serving underserved populations, with an emphasis on social determinants of health and whole-person care. He also contributes his expertise to national advisory panels focused on healthcare quality and patient safety.
An Accredited Professional Statistician (PStat®) through the American Statistical Association, Dr. Korvink brings an applied data science perspective to both his research and teaching. At Columbia, he teaches Relational Databases and SQL Programming for Research and Data Science (P8180), emphasizing practical skills that support reproducible research and modern biostatistical practice.Academic Appointments
- Associate in Biostatistics
Credentials & Experience
Education & Training
- BA, 2002 University of North Carolina at Charlotte
- MA, 2004 University of North Carolina at Charlotte
- Graduate Certificate, 2023 Pennsylvania State University
- DrPH, 2026 Medical College of Wisconsin, Institute for Health and Humanity
Committees, Societies, Councils
- Technical Expert Panel Member, Serious Reportable Events, National Quality Forum/The Joint Commission (2025)
- Advisory Board Member & Chair, Professional Development Committee, The University of North Carolina at Charlotte School of Data Science & Health Informatics and Analytics (November 2015 – May 2023)
Research
Selected Publications
Korvink, M., Biondolillo, M., Van Dijk, J. W., Banerjee, A., Simenz, C., & Nelson, D. (2025). Detection of potential causal pathways among social determinants of health: A data-informed framework. Social Science & Medicine, 373, 118025. https://doi.org/10.1016/j.socscimed.2025.118025
Korvink, M., Choi, H., Biondolillo, M., Zrull, L., Trail, J., Martin, J., Ballard, A., Bain, T., & DeBehnke, D. (2024). Integrating Social Drivers of Health into Hospital Ratings with Application to the 100 Top Hospitals Study. American Journal of Medical Quality, 39(4), 137–144. https://doi.org/10.1097/jmq.0000000000000191
Korvink, M., Gunn, L. H., Molina, G., Hackner, D., & Martin, J. (2023). A Novel Approach to Developing Disease and Outcome-Specific Social Risk Indices. American Journal of Preventive Medicine, 65(4), 727–734. https://doi.org/10.1016/j.amepre.2023.05.002
Korvink, M., Gunn, L. H., Molina, G., Hayes, T., Selves, E., Duan, M., & Martin, J. (2023). Risk Adjustment of ICD-10-CM Coded Potential Inpatient Complications Using Administrative Data. Medical Care, 61(8), 514–520. https://doi.org/10.1097/mlr.0000000000001865
Korvink, M., Hung, C. W., Wong, P. K., Martin, J., & Halawi, M. J. (2023). Development of a Novel Prospective Model to Predict Unplanned 90-Day Readmissions After Total Hip Arthroplasty. The Journal of Arthroplasty, 38(1), 124–128. https://doi.org/10.1016/j.arth.2022.07.017
Korvink, M., Molina, G., Martin, J., Sullivant, H., & Gunn, L. H. (2022). A novel approach to attribute responsible physicians using inpatient claims. The American Journal of Managed Care, 28(7), e263–e270. https://doi.org/10.37765/ajmc.2022.89185
Contributing Author
Begum* T, Gunn LH, Hadavi H, Martin J, Korvink M. Length of stay risk adjustment for patients with acute pancreatitis using a large U.S. cohort. Epidemiology. 2026;37(S2). doi:10.1097/01.ede.0001280564.01173.0b
Walker A, Kilday D, Korvink M, et al. Maternal health outcomes associated with syphilis infection during pregnancy: evidence from a large US all-payer hospital-centered administrative database. Open Forum Infectious Diseases. Volume 13, Issue 9, September 2026, ofag571, https://doi.org/10.1093/ofid/ofag571
Kilday, D., Korvink, M., Tatum, D., Cao, Z., Rosenthal, N., Perigard, R., Finke, A., Marshall, R., Snyder, M., Larson, K., Moluh, A., Martin, S., Sommerness, S., Lipkin, C., Hodan, E., & Fink, D. A. (2026). Association between COVID-19 by variant period and delivery-related outcomes in the United States. PloS one, 21(8), e0355223. https://doi.org/10.1371/journal.pone.0355223
Kilday D, Tatum D, Korvink M, Belk KW, Beals J, Finke A, et al. A novel maternal prenatal risk index to predict mortality-weighted severe maternal morbidity at hospitalization: a retrospective cohort study. The Lancet Regional Health – Americas. 2026 Jul 1;59. doi:10.1016/j.lana.2026.101481
Gunn, L. H., Okoli, C., Ekwonwa, E. C., Mosley, K., Rahman, F., Martin, J., & Korvink, M. (2026). Risk‐Adjusted Excess Length of Stay for Patients With Heart Failure Across Facilities: A Large US Cohort Study. Journal of the American Heart Association, 15(7). https://doi.org/10.1161/jaha.125.045222
Kilday, D., Tatum, D., Korvink, M., Belk, K. W., IV Beals, J., Finke, A., Perigard, R., Martin, S., Marshall, R., Jiang, Y., Ibrahim, J. G., Yeh, J., & Fink, D. A. (2025). Mortality-weighted severe maternal morbidity: A novel approach to assessing maternal health outcomes. BMC Pregnancy and Childbirth, 26(1). https://doi.org/10.1186/s12884-025-08526-8
Okoli, C., Ekwonwa, E., Mosley, K., Rahman, F., Martin, J., Korvink, M., & Gunn, L. H. (2025). Identifying facilities with excess risk-adjusted lengths of stay for heart failure patients: A large U.S. cohort study using administrative data. Annals of Epidemiology, 109, 197. https://doi.org/10.1016/j.annepidem.2025.08.011
Glass, A., Melton, N. C., Moore, C., Myrick, K., Thao, K., Mogaji, S., Howell, A., Patton, K., Martin, J., Korvink, M., & Gunn, L. H. (2024). A Novel Method for Assessing Risk-Adjusted Diagnostic Coding Specificity for Depression Using a U.S. Cohort of over One Million Patients. Diagnostics, 14(4), 426. https://doi.org/10.3390/diagnostics14040426
Richardson, K., Penumaka, S., Smoot, J., Panaganti, M. R., Chinta, I. R., Guduri, D. P., Tiyyagura, S. R., Martin, J., Korvink, M., & Gunn, L. H. (2024). A Data-Driven Approach to Defining Risk-Adjusted Coding Specificity Metrics for a Large U.S. Dementia Patient Cohort. Healthcare, 12(10), 983. https://doi.org/10.3390/healthcare12100983
Rosenthal, N., Carabuena, L. A., Martin, J., Cao, Z., Sianis, J., Korvink, M., & Maloney, M. (2023). EPH148 Burden of Opioid Use Disorder on Hospitals in the United States. Value in Health, 26(6), S191. https://doi.org/10.1016/j.jval.2023.03.1030
Armbrister, A. J., Finke, A. M., Long, A. M., Korvink, M., & Gunn, L. H. (2022). Turning up the volume to address biases in predicted healthcare-associated infections and enhance U.S. hospital rankings: A data-driven approach. American Journal of Infection Control, 50(2), 166–175. https://doi.org/10.1016/j.ajic.2021.08.014
Kniep, N., Achidi, T., Flynn, C., Gangur, J., Khot, M., Kueider, L., Mannadiar, S., Pokhrel, K., Raghuwanshi, Y., Rajwani, A., Rotteck, A., Sharp, N., Shenoy, S., Stoney, M., Wang, H., Zhang, Q., Korvink, M., & Gunn, L. H. (2022). County-Level Sociodemographic Factors Associated with COVID-19 Incidence and Mortality in North and South Carolina. North Carolina Medical Journal, 83(5), 366–374. https://doi.org/10.18043/ncm.83.5.366
Lunn, Y., Patel, R., Sokphat, T. S., Bourn, L., Fields, K., Fitzgerald, A., Sundaresan, V., Thomas, G., Korvink, M., & Gunn, L. H. (2022). Assessing Hospital Resource Utilization with Application to Imaging for Patients Diagnosed with Prostate Cancer. Healthcare, 10(2), 248. https://doi.org/10.3390/healthcare10020248
Mishra, R., Verma, H., Aynala, V. B., Arredondo, P. R., Martin, J., Korvink, M., & Gunn, L. H. (2022). Diagnostic Coding Intensity among a Pneumonia Inpatient Cohort Using a Risk-Adjustment Model and Claims Data: A U.S. Population-Based Study. Diagnostics, 12(6), 1495. https://doi.org/10.3390/diagnostics12061495
Rios, N. G., Oldiges, P. E., Lizano, M. S., Doucet Wadford, D. S., Quick, D. L., Martin, J., Korvink, M., & Gunn, L. H. (2022). Modeling Coding Intensity of Procedures in a U.S. Population-Based Hip/Knee Arthroplasty Inpatient Cohort Adjusting for Patient- and Facility-Level Characteristics. Healthcare, 10(8), 1368. https://doi.org/10.3390/healthcare10081368
Kurian, N., Maid, J., Mitra, S., Rhyne, L., Korvink, M., & Gunn, L. H. (2021). Predicting Hospital Overall Quality Star Ratings in the USA. Healthcare, 9(4), 486. https://doi.org/10.3390/healthcare9040486
Buckman, M., Grant, A., Henson, S., Ribeiro, J., Roth, K., Stranton, D., Korvink, M., & Gunn, L. H. (2021). A review of socioeconomic factors associated with acute myocardial infarction-related mortality and hospital readmissions. Hospital Practice. https://doi.org/10.1080/21548331.2021.2022357
Cook, K., Foster, B., Perry, I., Hoke, C., Smith, D., Peterson, L., Martin, J., Korvink, M., & Gunn, L. H. (2021). Associations between Hospital Quality Outcomes and Medicare Spending per Beneficiary in the USA. Healthcare, 9(7), 831. https://doi.org/10.3390/healthcare9070831
Daley, S., Kajendrakumar, B., Nandhakumar, S., Personett, C., Sholes, M., Thapa, S., Xue, C., Korvink, M., & Gunn, L. H. (2021). County-Level Socioeconomic Status Adjustment of Acute Myocardial Infarction Mortality Hospital Performance Measure in the U.S. Healthcare, 9(11), 1424. https://doi.org/10.3390/healthcare9111424
Nethery, M. A., Korvink, M., Makarova, K. S., Wolf, Y. I., Koonin, E. V., & Barrangou, R. (2021). CRISPRclassify: Repeat-Based Classification of CRISPR Loci. The CRISPR Journal, 4(4), 558–574. https://doi.org/10.1089/crispr.2021.0021