The user experiences of AI-based clinical decision support systems and implications for usage over time: A scoping review

Long-term experiences, particularly those occurring as a result of changes in model performance or as a result of iterative updates to AI-CDSS are sparsely described. Future work in this area should explore in more detail how experiences unfold over time and alongside AI-CDSS as they evolve.

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Publication Details

Journal
Digital Health
Published
2026-02-01
DOI
https://doi.org/10.1177/20552076261425134
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

The user experiences of AI-based clinical decision support systems and implications for usage over time: A scoping review

Dan Roland Persson, Tariq Osman Andersen
Digital Health
Artificial Intelligence in Healthcare and Education
article

The user experiences of AI-based clinical decision support systems and implications for usage over time: A scoping review

Dan Roland Persson, Tariq Osman Andersen
article en

Abstract

Long-term experiences, particularly those occurring as a result of changes in model performance or as a result of iterative updates to AI-CDSS are sparsely described. Future work in this area should explore in more detail how experiences unfold over time and alongside AI-CDSS as they evolve.

Digital HealthVol. 12
University of Copenhagen (DK)
Peace, Justice and strong institutions
Openalex Percentile: Top 52%
Artificial Intelligence in Healthcare and Education
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The user experiences of AI-based clinical decision support systems and implications for usage over time: A scoping review — Dan Roland Persson, Tariq Osman Andersen · Digital Health (2026) | TGRS Research Map | TGRS