Physicians’ acceptance of large language model–based clinical decision support tools in gynecologic oncology: a technology acceptance model study - Report - MDSpire
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Physicians’ acceptance of large language model–based clinical decision support tools in gynecologic oncology: a technology acceptance model study
Acceptance of Clinical Decision Support Tools Utilizing Large Language Models by Physicians in Gynecologic Oncology
Overview
This pilot study evaluates the acceptance of large language model-based clinical decision support systems (LLM-CDSS) among gynecologic oncologists. No significant factors were identified that influenced the willingness to use these tools.
Background
The integration of clinical decision support tools in gynecologic oncology is important due to the evolving nature of treatment guidelines and evidence. LLM-CDSS have the potential to assist clinicians by synthesizing patient-specific information with current guidelines.
Data Highlights
No significant factors influencing willingness to use LLM-CDSS were identified in the study.
Key Findings
29 physicians participated in the survey assessing acceptance of LLM-CDSS.
Descriptive analysis showed a generally positive attitude towards LLM-CDSS.
Acceptance was reported to depend on transparency, evidence integration, clinical validation, and physician oversight.
Participants expressed concerns regarding clinical autonomy and patient trust.
Survey results indicated an acquiescence bias in responses.
Clinical Implications
The study discusses factors related to the acceptance of LLM-CDSS among gynecologic oncologists.
Conclusion
The pilot study reveals insights into gynecologic oncologists' acceptance of LLM-CDSS, indicating the need for further validation in larger cohorts.
by Jan Lennart Stalp, Juliane Alexandra Schneider, Anna Krause, Lena Steinkasserer, Jens Hachenberg, Agnieszka Denecke, Peter Hillemanns, Dominik Wolff
