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Generative AI Patient Education Module for Breast Oncology
Sponsor: University of California, San Francisco
Summary
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.
Official title: Accuracy and Effect of Prescribed Generative AI Patient Education Module Within Breast Oncology Care
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
35
Start Date
2026-05-01
Completion Date
2026-12-31
Last Updated
2026-04-06
Healthy Volunteers
No
Interventions
Survey (Participant)
Participants will complete surveys to evaluate their experience using OpenEvidence CareConnect RAG LLM tool.
OpenEvidence CareConnect
Retrieval-Augmented Generation (RAG) Large Language Model (LLM) tool
Survey (Provider)
The provider will complete a survey to assess OpenEvidence CareConnect RAG LLM tool's usefulness and the quality of its patient education communication.
Locations (1)
University of California, San Francisco
San Francisco, California, United States