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NLP-Based Feedback to Improve Risk Comms and Informed Shared Decision Making
Sponsor: Cedars-Sinai Medical Center
Summary
In this pilot study, the investigators will show feasibility of the NLP-based feedback system in 20 consultations of men with newly diagnosed prostate cancer. The investigators will recruit from the practices of up to 10 physicians who typically see these patients. The investigators will report the top five sentences from each consultation across key content areas (cancer prognosis, life expectancy, erectile dysfunction, urinary incontinence, and irritative urinary symptoms) to both patients and physicians within 2 weeks of the consultation.
Official title: Natural Language Processing-Based Feedback to Improve Physician Risk Communication and Informed Shared Decision Making in Men With Clinically Localized Prostate Cancer
Key Details
Gender
MALE
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
30
Start Date
2023-11-15
Completion Date
2026-07-15
Last Updated
2025-08-01
Healthy Volunteers
No
Conditions
Interventions
NLP-based Feedback
Audio recordings will be made using either digital recorders or telehealth platform-generated transcripts. Patient reports will include only the extracted sentences related to content areas. Physician reports will note the extracted statements across each content area, the quality scores for individual statements based on the pre-specified hierarchy, the statements that achieved the highest score across each content area, and feedback on what could be improved. For patients, decisional conflict and risk perception will be assessed before and after receiving the NLP-based feedback. For physicians, the investigators will assess baseline quality of risk communication by pre-specified hierarchy, any changes in individual physician communication over time, and accuracy of risk estimates for key content areas.
Locations (1)
Cedars-Sinai Medical Center
Los Angeles, California, United States