Generative AI in health sciences education and practice. Part 3: supporting written communication

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Authors: Stian J. Reimers
Cited by: 1
References: 18

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.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Simulation-Based Education in Healthcare Clinical Reasoning and Diagnostic Skills

Publication details

Journal / source
British Journal of Cardiac Nursing
Publisher
Mark Allen Group
Volume
21
Issue
4
Pages
1–6
Publication date
2 April 2026
Language
EN