Condition: Prostate Cancer · Shared Decision Making · Risk Communication · Sponsor: Cedars-Sinai Medical Center
The purpose of the research is to assess the impact of a natural language processing + artificial intelligence (NLP+AI)-based risk communication feedback system to improve quality of risk communication of key tradeoffs during prostate cancer consultations among physicians and to improve patient decision making. In this cluster randomized trial, an evaluable 259 patients with newly diagnosed clinically localized prostate cancer will be cluster randomized within an evaluable 24 physicians to: 1. a control arm, in which patients will receive standard of care treatment consultations along with AUA-endorsed educational materials on treatment risks and benefits (for patients) and on SDM (for physicians) or 2. an experimental arm, in which patients and participating physicians will receive NLP+AI-based feedback on what was said about key tradeoffs within approximately 72 hours of the consultation to assist with decision making. Physicians will additionally be provided with grading of their risk communication for each visit based on an a priori defined framework for quality of risk communication and recommendations for improvement. In both study arms, there will be an audio-recorded follow-up phone or video call between the physician and patient to allow for further discussion of risk and clarifying any areas of ambiguity, which will be qualitatively analyzed to see if areas of poor communication were rectified. After the follow-up phone call, patients and participating physicians …
This description comes directly from the study's public registry record.
Timothy Daskivich, MD · 310-423-4700 · Timothy.Daskivich@cshs.org
Ella Tetrault, AB · 424-315-1311 · Ella.Tetrault@cshs.org
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| Cedars Sinai Medical Center | Los Angeles, California, United States | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06856694