PT  - JOURNAL ARTICLE
AU  - Sujan, Mark
AU  - Furniss, Dominic
AU  - Grundy, Kath
AU  - Grundy, Howard
AU  - Nelson, David
AU  - Elliott, Matthew
AU  - White, Sean
AU  - Habli, Ibrahim
AU  - Reynolds, Nick
TI  - Human factors challenges for the safe use of artificial intelligence in patient care
AID  - 10.1136/bmjhci-2019-100081
DP  - 2019 Nov 01
TA  - BMJ Health & Care Informatics
PG  - e100081
VI  - 26
IP  - 1
4099  - http://informatics.bmj.com/content/26/1/e100081.short
4100  - http://informatics.bmj.com/content/26/1/e100081.full
SO  - BMJ Health Care Inform2019 Nov 01; 26
AB  - 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.