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RCT of NLP-Based Feedback for Improving SDM in Men With Localized Prostate Cancer
NCT06856694 · View on ClinicalTrials.gov ↗
Study Summary
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 will be asked to complete a very brief survey about their experience. The study plans to test whether receiving NLP+AI-based feedback improves decisional conflict, shared decision making, and appropriateness of treatment choice over the standard of care in patients undergoing treatment consultations for prostate cancer. Study staff will also test whether providing feedback and grading of risk communication to physicians affects quality of physician risk communication, since providing feedback w
Conditions Studied
Interventions
- OTHER NLP+AI Report
Study Locations (1)
California
- Cedars Sinai Medical Center — Los Angeles
Trial Details
| Field | Value |
|---|---|
| Enrollment Target | 283 participants |
| Start Date | 2025-10-22 |
| Est. Completion | 2029-12 |
| Phase | NA |
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Full Details on ClinicalTrials.gov ↗What the Registry Record Tells You About NCT06856694
The ClinicalTrials.gov registry entry for NCT06856694 describes a study currently listed as recruiting. It is categorized as NA, which is the standard way researchers label where a study sits along the investigational pathway from early safety work through later efficacy and post-marketing evaluation. The registered enrollment target is 283 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is Cedars-Sinai Medical Center, which has 360 total studies on file at ClinicalTrials.gov, and sponsors are the parties responsible for study design, oversight, and regulatory filings.
The record links to 3 conditions, with Prostate Cancer appearing as the primary indexed condition, and to 1 intervention — of which NLP+AI Report is the first listed. Interventions can include drugs, devices, procedures, behavioral programs, or observational arms, and each is tracked as a separate registry field so that downstream queries can filter accurately. When a trial lists multiple interventions, it usually reflects a multi-arm design or a comparison protocol rather than a single treatment being tested in isolation. The brief summary published in the registry is the clearest source of protocol intent and should be read before drawing conclusions from any sidebar tags.
Geographic footprint matters for practical reasons: NCT06856694 reports 1 study location spanning 1 distinct geographic area — top geographies include California. A larger site network tends to correlate with broader recruitment capacity, but it does not imply anything about study quality, and site-level enrollment status can diverge from the overall registry status shown above. Every data point on this page comes from the public ClinicalTrials.gov dataset and is reproduced here for reference only; it is not a medical recommendation, an endorsement of the sponsor, or an invitation to enroll. Verify current status, eligibility criteria, and contact details directly at ClinicalTrials.gov, and discuss any participation decision with your own healthcare provider.
Frequently Asked Questions
What is clinical trial NCT06856694 about?
NCT06856694 is a clinical study titled "RCT of NLP-Based Feedback for Improving SDM in Men With Localized Prostate Cancer". 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 deci...
What is the current status of trial NCT06856694?
This trial is currently recruiting. It is a NA study. The enrollment target is 283 participants. The study started on 2025-10-22. Estimated completion is 2029-12.
What conditions does trial NCT06856694 study?
This clinical trial studies the following conditions: Prostate Cancer, Shared Decision Making, Risk Communication. These conditions were identified from the trial registry and reflect the primary focus areas of the research.
What interventions are being tested in trial NCT06856694?
The interventions under investigation include: NLP+AI Report (OTHER). Each intervention is being evaluated for safety and efficacy as part of this clinical study.
Who is sponsoring clinical trial NCT06856694?
This trial is sponsored by Cedars-Sinai Medical Center, which has 360 total clinical trials registered on ClinicalTrials.gov. The sponsor is responsible for the study's design, funding, and regulatory compliance.
Where is trial NCT06856694 being conducted?
This trial has 1 study location across California. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.
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