Chatbot to Maximize Hereditary Cancer Genetic Risk Assessment
NCT05562778 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 150
Last updated 2025-07-28
Summary
In this study, the investigators aim to compare a mobile health platform, known as a 'chatbot,' that leverages artificial intelligence and natural language processing to scale communication, to 'usual care' that patients would receive. This comparison will enable the investigators to determine if the chatbot system can improve rates of recommendation for genetic testing among patients at elevated risk of harboring a familial cancer syndrome in an all-Medicaid gynecology clinic. Furthermore, the investigators aim to evaluate facilitators of inequity in regard to patient access to and utilization of genetic testing services.
Conditions
- Gynecologic Cancer
- Hereditary Cancer Syndrome
Interventions
- OTHER
-
Chatbot
A chatbot is a software program designed to simulate human conversation, typically via text. Chatbots utilize natural language processing to gather patient data, anticipate questions, and predict responses. In this study, the Chatbot will simulate a text-like conversation with patients via a smartphone and use this platform to deal with the time-consuming nature of family history collection. The chatbots can then triage the collected family history against medical guidelines to determine which patients warrant genetic testing. For those patients meeting criteria for genetic testing, the chatbot can offer pre-test education and assist physicians with ordering genetic testing for interested patients meeting high-risk criteria.
Sponsors & Collaborators
-
Weill Medical College of Cornell University
lead OTHER
Principal Investigators
-
Melissa K Frey, MD · Weill Medical College of Cornell University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2023-01-15
- Primary Completion
- 2026-12-31
- Completion
- 2026-12-31
Countries
- United States
Study Locations
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