TY - JOUR T1 - Human factors challenges for the safe use of artificial intelligence in patient care JF - BMJ Health & Care Informatics JO - BMJ Health Care Inform DO - 10.1136/bmjhci-2019-100081 VL - 26 IS - 1 SP - e100081 AU - Mark Sujan AU - Dominic Furniss AU - Kath Grundy AU - Howard Grundy AU - David Nelson AU - Matthew Elliott AU - Sean White AU - Ibrahim Habli AU - Nick Reynolds Y1 - 2019/11/01 UR - http://informatics.bmj.com/content/26/1/e100081.abstract N2 - 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. ER -