Does workforce diversity, equity, and inclusion prevent patient safety incidents: a double machine learning approach

Wang, Y. orcid.org/0000-0003-1575-0245, Ji, J., Zhang, M. et al. (1 more author) (2025) Does workforce diversity, equity, and inclusion prevent patient safety incidents: a double machine learning approach. Journal of the Association for Information Systems, 26 (3). 6. ISSN 1558-3457

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Journal of the Association for Information Systems is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/

Keywords: Diversity, equity, and inclusion (DEI); Patient safety; double machine learning; healthcare analytics
Dates:
  • Accepted: 25 February 2025
  • Published (online): 5 May 2025
  • Published: 5 May 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 07 Mar 2025 10:54
Last Modified: 07 May 2025 10:28
Status: Published
Publisher: Association for Information Systems
Refereed: Yes
Identification Number: 10.17705/1jais.00944
Open Archives Initiative ID (OAI ID):

Export

Statistics