Accepted for/Published in: JMIR Formative Research
Date Submitted: Oct 21, 2020
Date Accepted: Jan 9, 2021
Preliminary Screening for Hereditary Breast and Ovarian Cancer using a Chatbot Augmented Intelligence Genetic Counselor
ABSTRACT
Background:
Breast cancer is the most common form of cancer in Japan; genetic background and hereditary breast and ovarian cancer (HBOC) are implicated. The key to HBOC diagnosis involves screening to identify high-risk individuals. However, genetic medicine is still developing, thus, many patients who may potentially benefit from genetic medicine have not yet been identified.
Objective:
To develop a chatbot system that used augmented intelligence for HBOC screening to determine whether patients meet the National Comprehensive Cancer Network (NCCN) BRCA1/2 testing criteria.
Methods:
The system was evaluated by a specialist doctor in genetic medicine and certified genetic counselors. We prepared three scenarios and created a conversation with the chatbot to reflect each. The chatbot feasibility, the time required, the medical accuracy of conversations and family history, and the final result were evaluated.
Results:
The times required for the conversation were 7 minutes for scenario 1, 15 minutes for scenario 2, and 16 minutes for scenario 3. Scenarios 1 and 2 met the BRCA1/2 testing criteria, while scenario 3 did not, and this result was consistent with the findings of three experts who retrospectively reviewed conversations with the chatbot according to the three scenarios. A family history comparison ascertained by the chatbot with the actual scenarios revealed that each result was consistent with each scenario. From a genetic medicine perspective, no errors were noted by the three experts.
Conclusions:
This study demonstrated that chatbot systems can be applied to the preliminary genetic medicine screening for HBOC.
Citation
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Copyright
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