Researchers Identify Ethical Challenges For EHR AI

A 2026 study from Amsterdam UMC examines ethical challenges at the intersection of electronic health record (EHR) data and AI, using a scoping review of 25 publications (2014–2024) and two stakeholder workshops with 30 participants within the LEAPfROG project. The authors identify four themes—privacy/consent, trust and governance, representation and generalizability, and responsible clinical integration—and recommend stakeholder-led, context-sensitive approaches for trustworthy AI.