Implementing an artificial intelligence command centre in the NHS: a mixed-methods study

Johnson, O.A. orcid.org/0000-0003-3998-541X, McCrorie, C. orcid.org/0000-0002-2673-6839, McInerney, C. orcid.org/0000-0001-7620-7110 et al. (7 more authors) (2024) Implementing an artificial intelligence command centre in the NHS: a mixed-methods study. Health and Social Care Delivery Research, 12 (41). ISSN 2755-0060

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Item Type: Article
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© 2024 Johnson et al. This work was produced by Johnson et al. under the terms of a commissioning contract issued by the Secretary of State for Health and Social Care. This is an Open Access publication distributed under the terms of the Creative Commons Attribution CC BY 4.0 licence, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. See: https://creativecommons.org/licenses/by/4.0/. For attribution the title, original author(s), the publication source – NIHR Journals Library, and the DOI of the publication must be cited.

Keywords: Command centre; Data quality; Electronic health records; Ethnography; Health Services; Hospitals; Information Technology; Learning Health Systems; Mixed Methods; Patient Care; Patient Safety; Process Mining; Humans; United Kingdom; State Medicine; Artificial Intelligence; COVID-19; Patient Safety; Hospitals, Teaching; Qualitative Research; SARS-CoV-2; Interviews as Topic
Dates:
  • Published: 1 October 2024
  • Published (online): October 2024
  • Accepted: January 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Depositing User: Symplectic Sheffield
Date Deposited: 13 Dec 2024 16:43
Last Modified: 13 Dec 2024 16:43
Status: Published
Publisher: National Institute for Health and Care Research
Refereed: Yes
Identification Number: 10.3310/tatm3277
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