Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol

McInerney, C. orcid.org/0000-0001-7620-7110, McCrorie, C., Benn, J. et al. (6 more authors) (2022) Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol. BMJ Open, 12 (3). e054090. ISSN 2044-6055

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
Keywords: health informatics; information management; information technology; telemedicine
Dates:
  • Accepted: 11 January 2022
  • Published (online): 1 March 2022
  • Published: March 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine (Sheffield) > Academic Unit of Medical Education (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 28 Sep 2022 11:42
Last Modified: 28 Sep 2022 11:51
Status: Published
Publisher: BMJ
Refereed: Yes
Identification Number: https://doi.org/10.1136/bmjopen-2021-054090
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