Zink A, Lou H, Chen I. Evaluating and Improving Clinical Risk Prediction Models for Patients with Lower Access to Care (Work in Progress)
Zink A, Chernew M, Neprash H. The Effect of AI-Enabled Clinical Software on Health Care Spending and Health Outcomes (Work in Progress)
Zink A, Obermeyer Z, Pierson E. Race Adjustments in Clinical Algorithms Can Help Correct for Racial Disparities in Data Quality. PNAS.
Zink A, Chernew M, Neprash HT. (2024). How Should Medicare Pay for Artificial Intelligence? JAMA Internal Medicine.
Zink A, Boone C, Maddox KJ, Chernew M, Neprash HT. (2024). Artificial Intelligence in Medicare: Utilization, Spending, and Access to Medicare-Covered AI-Enabled Clinical Software. The American Journal of Managed Care.
Cary MP Jr., Zink A, et al. (2023). Mitigating Racial and Ethnic Bias and Advancing Health Equity in Clinical Algorithms: A Scoping Review. Health Affairs 42(10).
Zink A and Rose S (2021). Identifying Undercompensated Groups Defined by Multiple Attributes in Risk Adjustment. BMJ Health & Care Informatics 28(1).
McGuire T, Zink A, Rose S (2021). Improving the Performance of Risk Adjustment Systems: Constrained Regressions, Reinsurance, and Variable Selection. Forthcoming in American Journal of Health Economics.
Zink A and Rose S (2020). Fair Regression for Health Care Spending. Biometrics 76(3): 973–982.
Neprash HT, Zink A, Sheridan B, Hempstead K (2021). The Effect of Medicaid Expansion on Medicaid Participation, Payer Mix, and Labor Supply in Primary Care. Journal of Health Economics 80: 102541.
Barnett ML, Gray J, Zink A and Jena AB (2017). Coupling Policymaking with Evaluation — The Case of the Opioid Crisis. New England Journal of Medicine 377: 2306–2309.