Exploring clinician attitudes towards artificial intelligence‐generated discharge summaries
Year: 2026
Type: article
Abstract: We conducted an exploratory mixed-methods study of clinician attitudes and editing behaviours towards artificial intelligence (AI)-generated discharge summaries. Five clinicians reviewed three summaries and indicated what changes they would make and why, answered a questionnaire, engaged in semi-structured interviews and viewed screen mock-ups of additional editing features. All clinicians expressed positive sentiments and saw AI as saving time. Edits were driven by professional pride and etiquette, most of which were not corrections of factual errors but optimisation of structure, coherence, conciseness, reasoning and tone. Tension arose between desire for personalised content versus potential benefits of standardisation. Various novel editing features were seen as expediting summary review.
Source: Internal Medicine Journal
DOI: 10.1111/imj.70661
Authors: Daisuke Yukita, Ian A. Scott, Timothy Miller
Institutions: The University of Queensland, Metro South Health
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W7225643391