Accessibility settings

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87061, first published .
Doctor in white coat talks to elderly woman in clinic waiting room.

Patient-Centered Summarization Framework for AI Clinical Summarization: Mixed Methods Study

Patient-Centered Summarization Framework for AI Clinical Summarization: Mixed Methods Study

Maria Lizarazo Jimenez   1 * , MD ;   Ana Gabriela Claros   1 * , MD ;   Kieran Green   1 , PhD ;   David Toro-Tobon   1, 2 , MD ;   Felipe Larios   1 , MD ;   Sheena Asthana   3 , PhD ;   Camila Wenczenovicz   1 , MD ;   Kerly Guevara Maldonado   1 , MD ;   Luis Vilatuna-Andrango   1 , MD ;   Ana Cristina Proano   1 , MD ;   Satya Sai Sri Bandi   1 , MBBS ;   Shubhangi Bagewadi   1 , MBBS ;   Megan E Branda   1, 4 , MS ;   Misk Al Zahidy   1 , MS ;   Saturnino Luz   5 , PhD ;   Mirella Lapata   5 , PhD ;   Juan P Brito   1, 2 , MD ;   Oscar J Ponce-Ponte   1, 6 , MD

1 Department of Medicine, Division of Endocrinology, Diabetes, Metabolism and Nutrition, Knowledge and Evaluation Research Unit, Care and AI Laboratory, Mayo Clinic, Rochester, MN, United States

2 Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN, United States

3 Centre for Health Technology, University of Plymouth, Plymouth, United Kingdom

4 Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States

5 Usher Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom

6 Derriford Hospital, University Hospitals Plymouth NHS Trust, Plymouth, England, United Kingdom

*these authors contributed equally

Corresponding Author:

  • Oscar J Ponce-Ponte, MD
  • Department of Medicine, Division of Endocrinology, Diabetes, Metabolism and Nutrition, Knowledge and Evaluation Research Unit, Care and AI Laboratory
  • Mayo Clinic
  • 100 2nd St SW
  • Rochester, MN 55905
  • United States
  • Phone: 1 (507) 284-2511
  • Email: ponceoscarj@gmail.com