Accessibility settings

Published on in Vol 14 (2026)

This is a member publication of McMaster University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83244, first published .
Responsible AI for Predicting Delayed Hospital Discharge Among Older Adults: Development and Evaluation Study for Balancing Accuracy, Equity, and Explainability

Responsible AI for Predicting Delayed Hospital Discharge Among Older Adults: Development and Evaluation Study for Balancing Accuracy, Equity, and Explainability

Responsible AI for Predicting Delayed Hospital Discharge Among Older Adults: Development and Evaluation Study for Balancing Accuracy, Equity, and Explainability

Somayeh Ghazalbash   1 , PhD ;   Manaf Zargoush   1 , PhD ;   Sara JT Guilcher   2, 3 , PT, PhD ;   Kerry Kuluski   4, 5 , MSW, PhD

1 Health Policy and Management, DeGroote School of Business, McMaster University, Hamilton, ON, Canada

2 Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada

3 Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada

4 Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada

5 Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada

Corresponding Author:

  • Manaf Zargoush, PhD
  • Health Policy and Management
  • DeGroote School of Business
  • McMaster University
  • 1280 Main Street West
  • Hamilton, ON L8S 4M4
  • Canada
  • Phone: 1 905-525-9140
  • Email: zargousa@mcmaster.ca