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
Learn MoreAuthor: Anna Zink, Michael E. Chernew, & Hannah T. Neprash
January 2026
Medicare Spending On Artificial Intelligence: Payment Policy Is Only Part Of The Story
Learn MoreAuthor: Hannah T. Neprash
May 2024
How Should Medicare Pay for Artificial Intelligence?
Learn MoreAuthor: Anna Zink, Michael E. Chernew, Hannah T. Neprash