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This clinical trial studies whether a chatbot can be used to help collect medical history and perform cancer risk assessment among patients undergoing cancer genetic counseling. With the improved cost of genetic testing and growing utilization of genetics in cancer care and risk assessment, there is growing pressure placed on certified genetic counselors. To address this issue, many have turned to artificial intelligence (the branch of computer science that deals with writing computer programs that can solve problems creatively) for practical solutions to re-distribute the workload of certified genetic counselors. The chatbot in this trial uses artificial intelligence technology to analyze information provided by the patient during a phone call. The chatbot then generates a family history summary, family tree (pedigree), and cancer risk related assessments, which may help redistribute the workload for the certified genetic counselor and ultimately make genetic counseling more accessible. Using a chatbot may be helpful in collecting medical history and determining cancer risk assessment among patients undergoing cancer genetic counseling.
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PRIMARY OBJECTIVE:
I. To assess the sensitivity and specificity of a chatbot's determination of meeting National Comprehensive Cancer Network (NCCN) criteria for germline genetic testing compared to a certified genetic counselor's determination
SECONDAY OBJECTIVES:
I. To assess the reliability and accuracy of a chatbot-generated cancer-focused family pedigree as determined by a certified genetic counselor.
II. To determine the sensitivity and specificity of a chatbot-generated Tyrer-Cuzick determination of breast cancer risk.
III. To evaluate the proportion of patients in a genetic counseling clinic population with greater than 20% lifetime risk of breast cancer and/or criteria met for germline genetic testing.
IV. To evaluate patient satisfaction using a chatbot for family history collection and breast cancer risk assessment.
V. To evaluate provider satisfaction with use, accuracy, and clinical workflow of chatbot-derived data.
OUTLINE:
Patients receive a text message with chatbot phone number at baseline. Patients then complete a phone call with the chatbot over 10-20 minutes consisting of a structured, genetics-specific interview and receive a chatbot generated provider summary, pedigree/structured data, NCCN flag, and Tyler-Cuzick score, which are routed to clinical team up to 21 days before scheduled genetics appointment.
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129 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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