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Research

Evaluating ChatGPT for converting clinic letters into patient-friendly language: a quantitative study

Simon C Cork and Keith Hopcroft
BJGP Open 2025; 9 (3): BJGPO.2024.0300. DOI: https://doi.org/10.3399/BJGPO.2024.0300
Simon C Cork
1 School of Medicine, Anglia Ruskin University, Bishop Hall Road, Chelmsford, UK
PhD
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  • For correspondence: simon.cork{at}aru.ac.uk
Keith Hopcroft
2 Laindon Medical Group, Basildon, UK
MBBS
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Article Information

vol. 9 no. 3 BJGPO.2024.0300
DOI 
https://doi.org/10.3399/BJGPO.2024.0300
PubMed 
40164490

Published By 
Royal College of General Practitioners
History 
  • Received December 9, 2024
  • Revision received March 17, 2025
  • Accepted March 18, 2025
  • Published online October 27, 2025.

Article Versions

  • Previous version (March 31, 2025 - 07:02).
  • Previous version (July 15, 2025 - 16:30).
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Copyright & Usage 
Copyright © 2025, The Authors This article is Open Access: CC BY license (https://creativecommons.org/licenses/by/4.0/)

Author Information

  1. Simon C Cork, PhD1,* and
  2. Keith Hopcroft, MBBS2
  1. 1 School of Medicine, Anglia Ruskin University, Bishop Hall Road, Chelmsford, UK
  2. 2 Laindon Medical Group, Basildon, UK
  1. ↵ *For correspondence:
    Simon C Cork, simon.cork{at}aru.ac.uk
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Evaluating ChatGPT for converting clinic letters into patient-friendly language: a quantitative study
Simon C Cork, Keith Hopcroft
BJGP Open 2025; 9 (3): BJGPO.2024.0300. DOI: 10.3399/BJGPO.2024.0300

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Evaluating ChatGPT for converting clinic letters into patient-friendly language: a quantitative study
Simon C Cork, Keith Hopcroft
BJGP Open 2025; 9 (3): BJGPO.2024.0300. DOI: 10.3399/BJGPO.2024.0300
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Keywords

  • Family practice
  • Hospital referrals
  • patient perspectives
  • Primary healthcare
  • General practitioners
  • artificial intelligence
  • Generative AI

More in this TOC Section

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  • Association between overweight and obesity and the frequency of general practice consultations among children aged 2–17 years: a French retrospective cohort study
  • Testing a structured end-of-life care approach in Danish general practice settings: a cohort study
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