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Published on in Vol 5 (2026)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88816, first published .
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Real-World Implementation of Large Language Models for Writing Clinical Discharge Summaries Within a Secure Data Environment: Development and Expert Evaluation Study

Real-World Implementation of Large Language Models for Writing Clinical Discharge Summaries Within a Secure Data Environment: Development and Expert Evaluation Study

Catalina Carenzo   1, 2 , MSc ;   Kathleen Goldsmith   1, 2 , MSc ;   Maite Arribas   1, 2 , PhD ;   Benjamin Atkins   1 , BSc, MBChB ;   Ina Ko   1 , BSc, MBBS ;   Ho Lun Chong   1 , BSc, MBChB ;   Asmita Raja   1 , MBChB ;   Aya M Riad   1 , BMedSci, MBChB, MRCS(Ed) ;   Rachael Lear   1, 2 , PhD ;   Yusuf S Abdullahi   1, 2 , PhD ;   Ben Glampson   1, 2 , MSc ;   Tim Orchard   1 , PhD ;   Erik Mayer   1, 2 , PhD

1 Imperial Clinical Analytics, Research and Evaluation (iCARE), NIHR Imperial Biomedical Research Centre, Imperial College Healthcare NHS Trust, London, England, United Kingdom

2 Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London, England, United Kingdom

Corresponding Author:

  • Kathleen Goldsmith, MSc
  • Imperial Clinical Analytics, Research and Evaluation (iCARE), NIHR Imperial Biomedical Research Centre
  • Imperial College Healthcare NHS Trust
  • 1A Sheldon Sqaure
  • London, England W2 6PY
  • United Kingdom
  • Phone: 44 02075891000
  • Email: kathleen.goldsmith17@imperial.ac.uk