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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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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