Considerations for the implementation of machine learning into acute care settings.

Journal: British medical bulletin
Published Date: Mar 21, 2022

Abstract

INTRODUCTION: Management of patients in the acute care setting requires accurate diagnosis and rapid initiation of validated treatments; therefore, this setting is likely to be an environment in which cognitive augmentation of the clinician's provision of care with technology rooted in artificial intelligence, such as machine learning (ML), is likely to eventuate.

Authors

  • Andrew Bishara
    Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA, United States.
  • Elijah H Maze
    Departments of Computer Science and Mathematics, University of Michigan, Bob and Betty Beyster Building, 2260 Hayward Street Ann Arbor, MI 48109, USA.
  • Mervyn Maze
    Department of Anesthesia and Perioperative Care, University of California San Francisco, 1001 Potrero Avenue San Francisco, CA 94110, USA.

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