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

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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
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article

Evaluating the ability of large language models to assess obstetric anaesthetic care using simulated medical records

Samuel Hird, Julien Toh
Anaesthesia
Simulation-Based Education in Healthcare
article

Evaluating the ability of large language models to assess obstetric anaesthetic care using simulated medical records

Samuel Hird, Julien Toh
article en

Abstract

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

Anaesthesia
Croydon University Hospital (GB)
Quality Education
Openalex Percentile: Top 12%
Simulation-Based Education in Healthcare
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