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AI-Driven Survivorship Care Plans (AI-SCP)
Sponsor: University of Utah
Summary
This project conducts exploratory work on a HIPAA-compliant, large language model (LLM)-based tool that integrates structured and unstructured oncology electronic health record (EHR) data to automate the development of tailored SCPs, paired with a patient-facing chatbot to answer questions about the SCP. Unlike generic AI documentation tools, this system establishes benchmarks for SCP development and embeds user-centered design (UCD) directly into prompt engineering and model governance workflows.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
50
Start Date
2026-11
Completion Date
2027-08
Last Updated
2026-10-02
Healthy Volunteers
No
Conditions
Interventions
SCP Chatbot
A secure LLM pipeline with structured and unstructured EHR data to automatically generate Survivorship Care Plans (SCPs) and develop a patient-facing chatbot to support comprehension. The SCP chatbot will leverage GARDE-Chat, an NCI-funded open-source chatbot platform
Locations (1)
University of Utah
Salt Lake City, Utah, United States