University of California, San Francisco
A randomized, open-label behavioral study designed to evaluate the feasibility, acceptability, and early impact of a large language model (LLM)-based artificial intelligence (AI) tool to support patient understanding following an initial oncology consultation.
PRIMARY OBJECTIVE: I. To evaluate the impact of a LLM-based intervention on patients' perceived quality, breadth, and depth of cancer-related information following a radiation or surgical oncology consult. SECONDARY OBJECTIVES: I. To assess patient- and provider-perceived levels of shared decision making. II. To evaluate changes in patient-reported distress. III. To compare concordance between patient and provider perceptions of shared decision making. EXPLORATORY OBJECTIVES: I. To identify qualitative themes and usage patterns in patient interactions with the LLM. II. To evaluate resour…
Inclusion Criteria: 1. Age ≥18 years. 2. Histologically or cytologically confirmed diagnosis of localized prostate cancer 3. Newly diagnosed and planning to undergo or recently completed a radiation or surgical oncology consult at University of California, San Francisco (UCSF) 4. Eastern Cooperative Oncology Group (ECOG) performance status of 0-2 5. English-speaking and able to participate in study teleconferences 6. Ability to understand and willingness to sign a written informed consent document 7. Access to a device and internet connection sufficient for teleconference participation Exclu…
An AI-guided, interactive educational tool that allows participants to interact with a large language model (LLM) will be delivered via teleconference.
Participant and clinicians will complete questionnaires
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Actual pay is set by the research site.
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