Evaluating the ability of large language models to assess obstetric anaesthetic care using simulated medical records
Evaluating the ability of large language models to assess obstetric anaesthetic care using simulated medical records Written complaints to the NHS in England have risen substantially [1] and national inquiries continue to raise concerns about standards of care in maternity services [2].Patients can now do more than read their medical records.Freely available large language models (LLMs) allow patients without clinical or legal expertise to upload the documents and ask whether their care met accepted standards.Unlike a
Authors
- Samuel Hird
- Julien Toh (ORCID: https://orcid.org/0000-0003-3262-7847)
Institutions
- Croydon University Hospital (GB)
Publication Details
- Journal
- Anaesthesia
- Published
- 2026-09-16
- DOI
- https://doi.org/10.1111/anae.70381
- Primary Topic
- Simulation-Based Education in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00