Physicians’ acceptance of large language model–based clinical decision support tools in gynecologic oncology: a technology acceptance model study - Scorecard - MDSpire
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Physicians’ acceptance of large language model–based clinical decision support tools in gynecologic oncology: a technology acceptance model study
Clinical Scorecard: Acceptance of Clinical Decision Support Tools Utilizing Large Language Models by Physicians in Gynecologic Oncology: A Study Based on Technology Acceptance Model
At a Glance
Category
Detail
Condition
Gynecologic Oncology
Key Mechanisms
Large language model-based clinical decision support systems (LLM-CDSS) assist in therapy planning by synthesizing patient-specific information with up-to-date evidence and guidelines.
Target Population
Physicians in gynecologic oncology
Care Setting
Tertiary hospital
Key Highlights
Physicians showed a generally positive but cautious attitude towards LLM-CDSS.
Acceptance of LLM-CDSS depends on transparency, clinical validation, and physician oversight.
Concerns about patient trust and clinical autonomy were noted among participants.
No significant factors were identified influencing willingness to use LLM-CDSS.
The study emphasizes the need for expert oversight and prospective clinical validation.
Guideline-Based Recommendations
Diagnosis
Management
Monitoring & Follow-up
Risks
Concerns regarding impaired trust, transparency, and data protection in oncology.
Patient & Prescribing Data
Not specified in the study.
LLM-CDSS could potentially improve consistency of care and reduce cognitive burdens.
Clinical Best Practices
LLM-CDSS should support rather than replace physician decision-making.
Transparency and clinical validation are crucial for acceptance.
by Jan Lennart Stalp, Juliane Alexandra Schneider, Anna Krause, Lena Steinkasserer, Jens Hachenberg, Agnieszka Denecke, Peter Hillemanns, Dominik Wolff
