Do physicians value decision support? A look at the effect of decision support systems on physician opinion
Abstract
Objective Clinical decision support systems are on the verge of becoming routine software tools in clinical settings. We investigate the question of how physicians react when faced with decision support suggestions that contradict their own diagnoses.Methodology We used a study design involving 52 volunteer dermatologists who each rated the malignancy of 25 lesion images on an ordinal scale and gave a dichotomous excise/no excise recommendation for each lesion image. After seeing the system's rating and excise suggestions, the physicians could revise their initial recommendations.Results We observed that in 24% of the cases in which the physicians' diagnoses did not match those of the decision support system, the physicians changed their diagnoses. There was a slight but significant negative correlation between susceptibility to change and experience level of the physicians. Physicians were significantly less likely to follow the decision system's recommendations when they were confident of their initial diagnoses. No differences between the physicians' inclinations to following excise versus no excise recommendations could be observed.Conclusion These results indicate that physicians are quite susceptible to accepting the recommendations of decision support systems, and that quality assurance and validation of such systems is therefore of paramount importance.
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Confidence in the initial decision can directly shape susceptibility to external advice, including AI recommendations.
“This can directly shape their susceptibility to external advice, including AI recommendations [ 26 , 27 ].”
From Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: Experimental Web-Based Study Among Dermatologists (2025) · cites this paper as [27]
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- Authors
- Dreiseitl, S., & Binder, M.
- Affiliations
- University of Applied Sciences Upper Austria (AT)
- Medical University of Vienna (AT)
- Corresponding author
- Dreiseitl, Stephan
- Venue
- Artificial Intelligence in Medicine
- Publisher
- Elsevier BV
- Published
- 2005-01
- Volume
- 33
- Issue
- 1
- Pages
- 25-30
- ISSN
- 0933-3657 (ISSN-L)
- OpenAlex
- W2044055744
- Cited by
- 102
- References
- 41
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 8 · 2023: 2 · 2022: 10 · 2021: 8 · 2020: 3 · 2019: 4 · 2018: 9 · 2017: 5 · 2016: 7 · 2015: 5 · 2014: 7 · 2013: 1 · 2012: 5
- FWCI
- 11.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Artificial Intelligence in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Keywords
- clinical decision support systems, physician attitudes, diagnostic confidence, diagnostic accuracy, dermatology, system validation, quality assurance
- MeSH terms
- Austria, Decision Making, Computer-Assisted, Humans, Practice Patterns, Physicians', Skin Diseases
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