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

Abstract

Metadata

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.
Dates:
  • Accepted: 11 January 2022
  • Published (online): 1 March 2022
  • Published: 1 March 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:
FunderGrant number
NIHR National Inst Health ResearchNIHR129483
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: https://doi.org/10.1136/bmjopen-2021-054090

Export

Statistics