Human factors challenges for the safe use of artificial intelligence in patient care

The use of artificial intelligence (AI) in patient care can offer significant benefits. However, there is a lack of independent evaluation considering AI in use. The paper argues that consideration should be given to how AI will be incorporated into clinical processes and services. Human factors cha...

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Main Authors: Ibrahim Habli, Mark Sujan, Kath Grundy, Howard Grundy, Matthew Elliott, Sean White, Nick Reynolds
Format: Article
Language:English
Published: BMJ Publishing Group 2019-05-01
Series:BMJ Health & Care Informatics
Online Access:https://informatics.bmj.com/content/26/1/e100081.full
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spelling doaj-10676492ca17492f81f59dd7d29e8d402021-03-01T12:00:28ZengBMJ Publishing GroupBMJ Health & Care Informatics2632-10092019-05-0126110.1136/bmjhci-2019-100081Human factors challenges for the safe use of artificial intelligence in patient careIbrahim Habli0Mark Sujan1Kath GrundyHoward GrundyMatthew ElliottSean WhiteNick ReynoldsDepartment of Computer Science, University of York, York, North Yorkshire, UK3 Warwick Medical School, University of Warwick, Coventry, UK The use of artificial intelligence (AI) in patient care can offer significant benefits. However, there is a lack of independent evaluation considering AI in use. The paper argues that consideration should be given to how AI will be incorporated into clinical processes and services. Human factors challenges that are likely to arise at this level include cognitive aspects (automation bias and human performance), handover and communication between clinicians and AI systems, situation awareness and the impact on the interaction with patients. Human factors research should accompany the development of AI from the outset.https://informatics.bmj.com/content/26/1/e100081.full
collection DOAJ
language English
format Article
sources DOAJ
author Ibrahim Habli
Mark Sujan
Kath Grundy
Howard Grundy
Matthew Elliott
Sean White
Nick Reynolds
spellingShingle Ibrahim Habli
Mark Sujan
Kath Grundy
Howard Grundy
Matthew Elliott
Sean White
Nick Reynolds
Human factors challenges for the safe use of artificial intelligence in patient care
BMJ Health & Care Informatics
author_facet Ibrahim Habli
Mark Sujan
Kath Grundy
Howard Grundy
Matthew Elliott
Sean White
Nick Reynolds
author_sort Ibrahim Habli
title Human factors challenges for the safe use of artificial intelligence in patient care
title_short Human factors challenges for the safe use of artificial intelligence in patient care
title_full Human factors challenges for the safe use of artificial intelligence in patient care
title_fullStr Human factors challenges for the safe use of artificial intelligence in patient care
title_full_unstemmed Human factors challenges for the safe use of artificial intelligence in patient care
title_sort human factors challenges for the safe use of artificial intelligence in patient care
publisher BMJ Publishing Group
series BMJ Health & Care Informatics
issn 2632-1009
publishDate 2019-05-01
description The use of artificial intelligence (AI) in patient care can offer significant benefits. However, there is a lack of independent evaluation considering AI in use. The paper argues that consideration should be given to how AI will be incorporated into clinical processes and services. Human factors challenges that are likely to arise at this level include cognitive aspects (automation bias and human performance), handover and communication between clinicians and AI systems, situation awareness and the impact on the interaction with patients. Human factors research should accompany the development of AI from the outset.
url https://informatics.bmj.com/content/26/1/e100081.full
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