Sujan, Mark, White, Sean, Furniss, Dominic et al. (6 more authors) (2019) Human factors challenges for the safe use of artificial intelligence in patient care. BMJ Health and Care Informatics. ISSN 2632-1009
Abstract
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.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © Author(s) (or their employer(s)) 2019. |
Dates: |
|
Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 28 Nov 2019 10:40 |
Last Modified: | 25 Nov 2024 00:33 |
Published Version: | https://doi.org/10.1136/bmjhci-2019-100081 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1136/bmjhci-2019-100081 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154007 |