NLP-Based feedback to improve shared decision making for men with localized prostate cancer
Official title: Natural Language Processing-Based Feedback to Improve Physician Risk Communication and Informed Shared Decision Making in Men With Clinically Localized Prostate Cancer
Run by Cedars-Sinai Medical Center · NCT06856694 · Data updated 2026-11-12
This trial will test an NLP+AI risk-communication feedback tool for doctors and men with newly diagnosed localized prostate cancer to see if it improves how treatment risks and tradeoffs are discussed and supports better decisions.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | Men only |
| Enrollment | 283 (estimated) |
| Sponsor | Cedars-Sinai Medical Center Academic / other |
| Drugs / interventions | Radiation |
| Locations | 1 site (Los Angeles, California) |
| Status | Recruiting |
| Started | October 22, 2025 |
| Main results expected | May 2029 |
| Study ends | December 2029 |
| Registry record updated | December 11, 2025 |
| Trial ID | NCT06856694 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal participants are English-speaking men undergoing an initial treatment consultation for newly diagnosed clinically localized prostate cancer or those on active surveillance considering conversion to definitive local therapy.
✕Probably not a fit
Patients who are non-English speakers, have locally advanced or metastatic disease, have already been treated for localized prostate cancer, have significant communication impairment or dementia, or are under 18 are unlikely to benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This cluster randomized trial will enroll about 259 men with clinically localized prostate cancer seen by 24 participating physicians at Cedars-Sinai. Physician clusters are randomized to usual care with AUA-endorsed educational materials or to an experimental arm where patients and physicians receive an NLP+AI-generated feedback report about key tradeoffs discussed within ~72 hours of the consultation. The report highlights what was said about risks and benefits and provides graded feedback to physicians on shared decision making. Study outcomes include quality of risk communication and measures of patient decision making.
Why it matters
Potential benefit: If successful, the tool could make discussions about treatment risks clearer and help patients make more informed, confident choices.
How similar studies have gone: Related NLP and AI tools for clinical communication have shown promising pilot results, but few randomized trials have yet demonstrated clear improvements in patient decision outcomes.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: Physician Inclusion Criteria (1) Physicians who typically counsel prostate cancer patients (Urology, Radiation Oncology, Medical Oncology) Patient Inclusion Criteria 1. Patients undergoing initial treatment consultation for clinically localized prostate cancer; 2. Patients with upgraded prostate cancer on active surveillance considering conversion to definitive local therapy; 3. Ability to read and write in English. Patient Exclusion Criteria: 1. Under 18 years of age; 2. Subjects with difficulty communicating or dementia; 3. Non-English speakers, given that our NLP-based tools cannot be used with languages other than English; 4. Patients with locally advanced or metastatic prostate cancer; 5. Patients who have already been treated for clinically localized prostate cancer.
Where it's running
-
Cedars Sinai Medical Center
Los Angeles, California, United States Recruiting
Study contacts
- Study coordinator: Timothy Daskivich, MD
- Email: Timothy.Daskivich@cshs.org
- Phone: 310-423-4700
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.