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

Johnson, Owen Ashby, McCrorie, Carolyn, McInerney, Ciarán 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. pp. 1-108. ISSN 2755-0079

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Johnson, Owen Ashby
  • McCrorie, Carolyn
  • McInerney, Ciarán
  • Mebrahtu, Teumzghi F (tm1104@york.ac.uk)
  • Granger, Josh
  • Sheikh, Naeem
  • Lawton, Tom
  • Habli, Ibrahim ORCID logo https://orcid.org/0000-0003-2736-8238
  • Randell, Rebecca
  • Benn, Jonathan
Copyright, Publisher and Additional Information:

© 2024 Johnson et al.

Keywords: Humans,United Kingdom,State Medicine/organization & administration,Artificial Intelligence,COVID-19/epidemiology,Patient Safety,Hospitals, Teaching/organization & administration,Qualitative Research,SARS-CoV-2,Interviews as Topic
Dates:
  • Published: October 2024
Institution: The University of York
Academic Units: The University of York > Faculty of Social Sciences (York) > Centre for Reviews and Dissemination (York)
The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 14 May 2025 08:30
Last Modified: 14 May 2025 08:30
Published Version: https://doi.org/10.3310/TATM3277
Status: Published
Refereed: No
Identification Number: 10.3310/TATM3277
Open Archives Initiative ID (OAI ID):

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Description: 3046554

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