Generative AI in health sciences education and practice. Part 3: supporting written communication
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.
Authors
- Stian Reimers
Institutions
- St George's, University of London (GB)
- City St George's, University of London (GB)
Publication Details
- Journal
- British Journal of Cardiac Nursing
- Published
- 2026-04-02
- DOI
- https://doi.org/10.12968/bjca.2026.0024
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00