Comparing artificial intelligence- vs clinician-authored summaries of simulated primary care electronic health records.

Journal: JAMIA open
Published Date: Jul 30, 2025

Abstract

OBJECTIVE: To compare clinical summaries generated from simulated patient primary care electronic health records (EHRs) by GPT-4, to summaries generated by clinicians on multiple domains of quality including utility, concision, accuracy, and bias.

Authors

  • Lara Shemtob
    Department of Primary Care and Public Health, Imperial College London, London W12 0BZ, United Kingdom.
  • Abdullah Nouri
    St Andrews Health Centre, London E3 3FF, United Kingdom.
  • Adam Harvey-Sullivan
    Wolfson Institute of Population Health, Queen Mary University of London, London E1 4NS, United Kingdom.
  • Connor S Qiu
    Department of Primary Care and Public Health, Imperial College London, London W12 0BZ, United Kingdom.
  • Jonathan Martin
    Department of Biological Sciences, University of Texas at Dallas, Richardson, TX 75080.
  • Martha Martin
    King's College Hospital, London, UK.
  • Sara Noden
    Chiswick Health Practice, London W6 0YD, United Kingdom.
  • Tanveer Rob
    General Practitioner, Tower Hamlets, London, United Kingdom.
  • Ana L Neves
    Department of Primary Care and Public Health, Imperial College London, London W12 0BZ, United Kingdom.
  • Azeem Majeed
    Imperial College London, London, UK.
  • Jonathan Clarke
    Centre for Mathematics of Precision Healthcare, Department of Mathematics, Imperial College London, London, UK.
  • Thomas Beaney
    Department of Primary Care and Public Health, Imperial College London, London, W12 0BZ, United Kingdom.

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