Artificial intelligence and deskilling in medicine
Artificial intelligence is increasingly being used in medical practice to complete tasks that were previously completed by the physician, such as visit documentation, treatment plans and discharge summaries. As artificial intelligence becomes a routine part of medical care, physicians increasingly trust and rely on its clinical recommendations. However, there is concern that some physicians, especially those younger and less experienced, will become over-reliant on artificial intelligence. Over-reliance on it may reduce the quality of clinical reasoning and decision-making, negatively impact patient communications and raise the potential for deskilling. As artificial intelligence becomes a routine part of medical treatment, it is imperative that physicians recognise the limitations of artificial intelligence tools. These tools may assist with basic administrative tasks but cannot replace the uniquely human interpersonal and reasoning skills of physicians. The purpose of this feature article is to discuss the risks of physician deskilling based on increasing reliance on artificial intelligence.
Authors
- Tasha Glenn (ORCID: https://orcid.org/0000-0002-9289-4544)
- Michael Bauer (ORCID: https://orcid.org/0000-0002-2666-859X)
- Scott Monteith
- Eric D. Achtyes (ORCID: https://orcid.org/0000-0001-8939-1535)
- Rita Bauer
- Peter C. Whybrow
- John Richard Geddes
Institutions
- Western Michigan University (US)
- University of California, Los Angeles (US)
- University of Oxford (GB)
- Laboratoire Chrono-Environnement (FR)
- University Hospital Carl Gustav Carus (DE)
- Stryker (United States) (US)
- Michigan State University (US)
Publication Details
- Journal
- The British Journal of Psychiatry
- Published
- 2026-01-08
- DOI
- https://doi.org/10.1192/bjp.2025.10496
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 17.70