AI Patient Education for Breast Cancer
What You Need to Know Before You Apply
What is the purpose of this trial?
This study evaluates the safety, accuracy, and impact of an artificial intelligence (AI) tool designed to support patient education in breast cancer care for breast oncology patients under selected physicians care within the University of California, San Francisco breast cancer center and affiliate sites.
Who Is on the Research Team?
Michelle Melisko, MD
Principal Investigator
University of California, San Francisco
Are You a Good Fit for This Trial?
Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Safety Lead-in Phase
Participants receive access to OpenEvidence CareConnect for safety evaluation
Intervention Phase
Participants receive immediate access to OpenEvidence CareConnect and complete surveys
Control Phase
Participants on the waitlist receive delayed access to OpenEvidence CareConnect
Follow-up
Participants are monitored for safety and effectiveness after treatment
What Are the Treatments Tested in This Trial?
Interventions
- Generative AI Patient Education Module
How Is the Trial Designed?
3
Treatment groups
Experimental Treatment
Participants will receive access to OpenEvidence CareConnect a Retrieval-Augmented Generation (RAG) Large Language Model (LLM) tool that provides general health and breast cancer-specific information for 3 months.
Participants will be given immediate access to OpenEvidence CareConnect for up to 3 months and complete surveys regarding use of tool. Participants are then followed up for an additional 3 months.
Participants will be given access to OpenEvidence CareConnect for 3 months 90 days after enrollment
Find a Clinic Near You
Who Is Running the Clinical Trial?
University of California, San Francisco
Lead Sponsor
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