This paper is in the following e-collection/theme issue:

Machine Learning (1832) Responsible Health AI (10) Natural Language Processing (831) Tools, Programs and Algorithms (336) Artificial Intelligence (1840) New Methods (1057) Participatory Medicine & E-Patients (841) Patient Engagement and Empowerment (62)

Published on in Vol 13 (2025)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60900, first published .
Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation

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

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

Authors of this article:

Mustafa Khanbhai1, 2 Author Orcid Image ;   Catalina Carenzo1, 2 Author Orcid Image ;   Sarindi Aryasinghe1, 2 Author Orcid Image ;   David Manton2 Author Orcid Image ;   Erik Mayer1, 2, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Mustafa Khanbhai   1, 2 , MD, PhD ;   Catalina Carenzo   1, 2 , MSc ;   Sarindi Aryasinghe   1, 2 , BSc ;   David Manton   2 , BSc ;   Erik Mayer   1, 2, 3 , MD, PhD

1 iCARE Digital Collaboration Space & Secure Data Environment, NIHR Imperial Biomedical Research Centre, London, United Kingdom

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

3 Imperial College Healthcare NHS Trust, London, United Kingdom

Corresponding Author:

  • Mustafa Khanbhai, MD, PhD
  • iCARE Digital Collaboration Space & Secure Data Environment
  • NIHR Imperial Biomedical Research Centre
  • 1a Sheldon Square
  • London W2 6PY
  • United Kingdom
  • Phone: 44 20 7589 5111
  • Email: m.khanbhai@imperial.ac.uk