AI-Driven Survivorship Care Plans (AI-SCP)
AI-SCP
1 other identifier
interventional
50
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable cancer
Started Aug 2026
Shorter than P25 for not_applicable cancer
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 7, 2026
CompletedFirst Posted
Study publicly available on registry
July 13, 2026
CompletedStudy Start
First participant enrolled
August 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
August 1, 2027
July 13, 2026
July 1, 2026
1 year
July 7, 2026
July 7, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Feasibility: Recruitment Retention
Feasibility of the interactive AI-SCP and chatbot. This outcome measure will report the proportion of subjects who were retained from recruitment.
up to 7 days
Secondary Outcomes (1)
Acceptability/Usability: System Usability Scale
up to 7 days
Other Outcomes (2)
Change in PROMIS Anxiety
up to 7 days
Change in Cancer Worry Scale
up to 7 days
Study Arms (1)
SCP Chatbot
OTHERParticipants will receive an AI-SCP and access to the SCP chatbot from an oncologist for 7 days .
Interventions
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
Eligibility Criteria
You may qualify if:
- Adult cancer survivors
- Age +18 years,
- Speak and understand English
- Affiliated with the Huntsman Cancer Institute.
You may not qualify if:
- Under age 18
- Not affiliated with Huntsman Cancer Institute
- Unable to speak or understand English
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Utahlead
- Huntsman Cancer Institutecollaborator
Study Sites (1)
University of Utah
Salt Lake City, Utah, 84112, United States
MeSH Terms
Conditions
Study Officials
- PRINCIPAL INVESTIGATOR
Echo Warner, MPH, PhD, SB
Huntsman Cancer Institute/ University of Utah
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 7, 2026
First Posted
July 13, 2026
Study Start
August 1, 2026
Primary Completion (Estimated)
August 1, 2027
Study Completion (Estimated)
August 1, 2027
Last Updated
July 13, 2026
Record last verified: 2026-07
Data Sharing
- IPD Sharing
- Will not share