Policy Research Grants

Funding For:

The Effect of AI-Enabled Clinical Software on Health Care Spending and Health Outcomes

Health Care Technology & AI


Recipient:

Anna Zink, University of Chicago & Hannah Neprash, University of Minnesota

Grant Period:

Jan 01, 2024 - Dec 31, 2024

AMOUNT:

$47,319.00

Summary of the Project:

Artificial Intelligence (AI) is poised to become a major part of health care. This team will look at the Centers for Medicare and Medicaid (CMS) reimbursement data for six AI-enabled applications to provide the first causal evidence of the impact of AI-enabled clinical software on health care utilization, spending, and health outcomes. The findings may be of immediate and long-term use to CMS and other payers as they determine reimbursement policies, as well as health systems and clinicians considering adopting AI applications.

Grantee Publications

February 2026

Practice Pattern Changes After Adoption Of Diagnostic AI Tool Used In Conjunction With Cardiac Imaging

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Author: Anna Zink, Michael E. Chernew, & Hannah T. Neprash

January 2026

Medicare Spending On Artificial Intelligence: Payment Policy Is Only Part Of The Story

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Author: Hannah T. Neprash

May 2024

How Should Medicare Pay for Artificial Intelligence?

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Author: Anna Zink, Michael E. Chernew, Hannah T. Neprash