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AI-Driven Survivorship Care Plans (AI-SCP)

AI-Driven Survivorship Care Plans (AI-SCP)

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07700199
Acronym
AI-SCP
Enrollment
50
Registered
2026-07-13
Start date
2026-08-01
Completion date
2027-08-01
Last updated
2026-07-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cancer

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.

Interventions

OTHERSCP 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

Sponsors

University of Utah
Lead SponsorOTHER
Huntsman Cancer Institute
CollaboratorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adult cancer survivors * Age +18 years, * Speak and understand English * Affiliated with the Huntsman Cancer Institute.

Exclusion criteria

* Under age 18 * Not affiliated with Huntsman Cancer Institute * Unable to speak or understand English

Design outcomes

Primary

MeasureTime frameDescription
Feasibility: Recruitment Retentionup to 7 daysFeasibility of the interactive AI-SCP and chatbot. This outcome measure will report the proportion of subjects who were retained from recruitment.

Secondary

MeasureTime frameDescription
Acceptability/Usability: System Usability Scaleup to 7 daysAcceptability and usability of the interactive AI-SCP and chatbot. This outcome measure will report the mean System Usability Scale (SUS) score. SUS scores range from 0-100, with higher scores indicating better usability and lower scores indicating worse usability.

Countries

United States

Contacts

CONTACTEcho Warner, MPH, PhD, SB
echo.warner@hci.utah.edu801-244-7040
PRINCIPAL_INVESTIGATOREcho Warner, MPH, PhD, SB

Huntsman Cancer Institute/ University of Utah

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 14, 2026