Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation.

Journal: JMIR medical informatics
Published Date: Jul 10, 2025

Abstract

BACKGROUND: Understanding and improving patient care is pivotal for health care providers. With increasing volumes of the Friends and Family Test (FFT) data in England, manual analysis of this patient feedback poses challenges for many health care organizations. This underscores the importance of automated text analysis, particularly in predicting sentiments and themes in real time.

Authors

  • Mustafa Khanbhai
    Patient Safety Translational Research Centre, Imperial College of Science Technology and Medicine, London, UK m.khanbhai@imperial.ac.uk.
  • Catalina Carenzo
    iCARE Secure Data Environment, NIHR Imperial Biomedical Research Centre, Imperial College Healthcare NHS Trust, London, UK.
  • Sarindi Aryasinghe
    iCARE Secure Data Environment, NIHR Imperial Biomedical Research Centre, Imperial College Healthcare NHS Trust, London, UK. s.aryasinghe@imperial.ac.uk.
  • David Manton
    Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom.
  • Erik Mayer
    Patient Safety Translational Research Centre, Imperial College of Science Technology and Medicine, London, UK.

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