Research Grants
Funding For:
Ambient AI Documentation and Billing Intensity: Evidence from Commercial Claims
Affordability / Artificial Intelligence / Cost & Quality
Recipient:
Tinglong Dai, Johns Hopkins University
Grant Period:
Jan 01, 2026 - Dec 31, 2026
AMOUNT:
$55,000.00
Summary of the Project:
Ambient listening AI scribe tools are rapidly growing in use, and early reports indicate reduced charting time and higher clinician satisfaction, but ambient AI may also increase coding intensity, leading to higher reimbursement. Using a novel physician survey and commercial claims data, this study will provide a multi-site assessment of ambient AI’s effects on coding intensity related to billing and quality outcomes of adopting hospitals.
Research Team:
Tinglong Dai, Johns Hopkins University
Daniel Polsky, Johns Hopkins University