Exploring clinician attitudes towards artificial intelligence‐generated discharge summaries

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.

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Publication Details

Journal
Internal Medicine Journal
Published
2026-11-08
DOI
https://doi.org/10.1111/imj.70661
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring clinician attitudes towards artificial intelligence‐generated discharge summaries

Tim Miller, Ian A Scott, Daisuke Yukita
Internal Medicine Journal
Artificial Intelligence in Healthcare and Education
article

Exploring clinician attitudes towards artificial intelligence‐generated discharge summaries

Tim Miller, Ian A Scott, Daisuke Yukita
article en

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.

Internal Medicine Journal
The University of Queensland (AU), Metro South Health (AU)
Artificial Intelligence in Healthcare and Education
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