Physicians’ acceptance of large language model–based clinical decision support tools in gynecologic oncology: a technology acceptance model study - Summary - MDSpire
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Physicians’ acceptance of large language model–based clinical decision support tools in gynecologic oncology: a technology acceptance model study
To evaluate the clinical technology acceptance of large language model-based clinical decision support systems (LLM-CDSS) in gynecologic oncology.
Approach:
Survey Design: A questionnaire based on the technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) was sent to clinicians at a gynecology and obstetrics clinic. The survey included 29 physicians and utilized Ordinary Least Squares (O…
Key Findings:
OLS regression did not identify significant factors influencing willingness to use LLM-CDSS.
Survey responses indicated a generally positive but cautious attitude toward LLM-based therapy recommendation systems.
Acceptance was influenced by factors such as transparency, integration of evidence, clinical validation, and preservation of physician oversight.
Interpretation:
Participants acknowledged a potential positive impact of LLM-CDSS on clinical practice but emphasized that these tools should support rather than replace physicians.
Limitations:
The survey sample size was small (29 physicians).
The survey results indicated an acquiescence bias.
Further validation in a larger multicentered cohort is needed.
Conclusion:
The study provides insights into physician opinions on LLM-based therapy recommendation tools.
by Jan Lennart Stalp, Juliane Alexandra Schneider, Anna Krause, Lena Steinkasserer, Jens Hachenberg, Agnieszka Denecke, Peter Hillemanns, Dominik Wolff
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