Electronic health record developer adherence to federal AI risk transparency requirements
We evaluated electronic health record developer compliance with federal transparency requirements for AI-enabled predictive decision support interventions. Developers are required to publicly report on risk analysis, mitigation, governance, and on eight other attributes. Across 35 developers, reporting was inconsistent and often incomplete, with substantial variation in structure and detail, yet all developers were certified as meeting the requirements. Results suggest a need for standardized reporting and more rigorous certification review.
Authors
- Kristen Miller (ORCID: https://orcid.org/0000-0002-8991-2342)
- Joshua Biro (ORCID: https://orcid.org/0000-0001-7362-4138)
- Raj M. Ratwani (ORCID: https://orcid.org/0000-0002-8623-6123)
- Jordan Everson (ORCID: https://orcid.org/0000-0001-5355-6043)
- Jessica L. Handley
- Nidhi Manikkoth
- Ngan Vo
Institutions
- Georgetown University (US)
- MedStar Health (US)
Publication Details
- Journal
- npj Digital Medicine
- Published
- 2026-10-14
- DOI
- https://doi.org/10.1038/s41746-026-03152-w
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00