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

Journal: BMJ open
Published Date: Mar 1, 2022

Abstract

INTRODUCTION: This paper presents a mixed-methods study protocol that will be used to evaluate a recent implementation of a real-time, centralised hospital command centre in the UK. The command centre represents a complex intervention within a complex adaptive system. It could support better operational decision-making and facilitate identification and mitigation of threats to patient safety. There is, however, limited research on the impact of such complex health information technology on patient safety, reliability and operational efficiency of healthcare delivery and this study aims to help address that gap.

Authors

  • Ciarán McInerney
    School of Computing, University of Leeds Faculty of Engineering and Physical Sciences, Leeds, UK C.McInerney@leeds.ac.uk.
  • Carolyn McCrorie
    Bradford Royal Infirmary, Wolfson Centre for Applied Health Research, Bradford, UK.
  • Jonathan Benn
    Bradford Royal Infirmary, Wolfson Centre for Applied Health Research, Bradford, UK.
  • Ibrahim Habli
    Department of Computer Science, University of York, York, YO10 5GH, UK. Electronic address: Ibrahim.Habli@york.ac.uk.
  • Tom Lawton
    Bradford Teaching Hospitals NHS Foundation Trust, Bradford, England.
  • Teumzghi F Mebrahtu
    School of Computing, University of Leeds Faculty of Engineering and Physical Sciences, Leeds, UK.
  • Rebecca Randell
    Bradford Royal Infirmary, Wolfson Centre for Applied Health Research, Bradford, UK.
  • Naeem Sheikh
    Bradford Royal Infirmary, Wolfson Centre for Applied Health Research, Bradford, UK.
  • Owen Johnson
    School of Computing, University of Leeds, Leeds, UK.

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