Accuracy and Effect of Prescribed Generative AI Patient Education Module Within Breast Oncology Care
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.
Description
PRIMARY OBJECTIVES: I. Lead-in period: To evaluate the safety of the OpenEvidence CareConnect a Retrieval-Augmented Generation (RAG) Large Language Model (LLM) tool during the initial lead-in phase in patients with metastatic breast cancer. II. To evaluate the clinical accuracy and appropriateness of the OpenEvidence CareConnect RAG LLM tool in delivering general health and breast cancer-specific information. SECONDARY OBJECTIVES: I. To assess patient perceptions of the AI tool's helpfulness, alignment with other information sources, and its impact on communication with their oncology care…
Eligibility
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: 1. Females or males ages 18 and over. 2. Patients must have either: 1. Stage IV breast cancer facing a treatment change and are expected to have follow-up visits at least once every three months, or 2. Stage I-III breast cancer diagnosed within the past 6 months. 3. Basic computer literacy and regular internet access at home. 4. Able to understand study procedures and to comply with them for the entire length of the study. 5. Ability of individual or legal guardian/representative to understand a written informed consent document, and the willingness to sign it. Exc…
Interventions
- OtherSurvey (Participant)
Participants will complete surveys to evaluate their experience using OpenEvidence CareConnect RAG LLM tool.
- OtherOpenEvidence CareConnect
Retrieval-Augmented Generation (RAG) Large Language Model (LLM) tool
- OtherSurvey (Provider)
The provider will complete a survey to assess OpenEvidence CareConnect RAG LLM tool's usefulness and the quality of its patient education communication.
Location
- University of California, San FranciscoSan Francisco, California