Artificial intelligence (AI) tools sometimes produce hallucinations when asked to remove personal patient information from electronic patient records (EPRs), a study has found.
Researchers from the University of Oxford evaluated the ability of large language models (LLMs) and purpose-built software tools to detect and remove patient names, dates, medical record numbers, and other identifiers from real-world records, without altering clinical content.
The study, published by iScience on 9 December 2025, found that smaller LLMs frequently over-redacted or produced hallucinatory content, in which erroneous text not present in the original record was shown, or occasionally introducing fabricated medical details.
Source: Digital Health, 18 December 2025.
Related reading
Recommended Comments
Create an account or sign in to comment