Evaluating the safety and patient impacts of an Artificial Intelligence Command Centre in acute hospital care: A mixed-methods protocol

McInerney, CD orcid.org/0000-0001-7620-7110, McCrorie, C, Benn, J orcid.org/0000-0001-5919-9905 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

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Item Type: Article
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© 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.

Dates:
  • Published: 1 March 2022
  • Published (online): 1 March 2022
  • Accepted: 11 January 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Psychology (Leeds)
Funding Information:
Funder
Grant number
NIHR National Inst Health Research
NIHR129483
Depositing User: Symplectic Publications
Date Deposited: 31 Jan 2022 15:53
Last Modified: 25 Jun 2023 22:53
Status: Published
Publisher: BMJ Publishing Group
Identification Number: 10.1136/bmjopen-2021-054090
Open Archives Initiative ID (OAI ID):

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