City Research Online

Abstract

This third article in a series on generative artificial intelligence in the health and medical sciences examines the potential and risks around using artificial intelligence (AI) to facilitate communications between clinicians and patients, as well as among clinicians. The emerging evidence indicates that AI can help clinicians communicate more clearly and reduce workload, but that the risk of reduced accuracy and nuance mean that clinicians need to be closely involved in drafting AI-supported communication. The article also looks at the ways in which teaching in nursing and health sciences more generally is responding to these developments, and the ways in which students and practitioners can use AI to develop, but not replace, their professional communication skills.

Publication Type:	Article
Additional Information:	This document is the Accepted Manuscript version of a Published Work that appeared in final form in British Journal of Cardiac Nursing, copyright © MA Healthcare, after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.12968/bjca.2026.0024
Subjects:	H Social Sciences > HN Social history and conditions. Social problems. Social reform L Education > LB Theory and practice of education > LB2300 Higher Education Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Departments:	School of Health & Medical Sciences School of Health & Medical Sciences > Department of Psychology & Neuroscience
SWORD Depositor:	Symplectic Administrator

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