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A clinical chatbot effectively identifies individuals with hereditary cancer risk, with over 64% of invited patients engaging. The tool facilitates genetic testing education and risk assessment, aiding in preventive care strategies.

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Area of Science:

  • Digital health
  • Oncology
  • Genetics

Background:

  • Hereditary cancer syndromes pose significant health risks.
  • Early identification and risk assessment are crucial for preventive strategies.
  • Automated tools can streamline patient engagement in healthcare settings.

Purpose of the Study:

  • To evaluate user engagement and experience with a clinical chatbot designed for hereditary cancer risk triage.
  • To assess the chatbot's effectiveness in collecting personal and family cancer history within routine women's healthcare.
  • To determine the chatbot's role in identifying patients eligible for genetic testing.

Main Methods:

  • A multicenter, retrospective observational study involving patients using a web-based chatbot.
  • Chatbot assessed risk for hereditary breast and ovarian cancer, Lynch syndrome, and adenomatous polyposis syndromes.
  • Outcome measures included chatbot uptake, completion rates, and risk identification against National Comprehensive Cancer Network criteria.

Main Results:

  • 64.2% of 95,166 invited patients engaged with the chatbot.
  • High completion rates for risk assessment (89.4%) and genetic testing education (71.4%) were observed.
  • 1 in 4 patients met criteria for genetic testing, with 5.6% testing positive for pathogenic variants.

Conclusions:

  • Clinical chatbots are effective digital health tools for identifying high-risk individuals for hereditary cancer syndromes.
  • This scalable intervention enhances patient engagement with risk assessment and educational information.
  • Chatbots facilitate pathways toward preventive genetic testing and improved cancer care.