To systematically map chatbot applications for breast and ovarian cancer care and synthesize evidence on their characteristics, functions, outcomes, and implementation considerations, with a focus on improving patient support.
Key Findings:
Chatbots can enhance patient care by providing personalized support and information, as evidenced by specific case studies.
Few studies specifically address chatbot applications for breast and ovarian cancer, indicating a research gap.
Chatbots have shown potential in improving communication, managing treatment expectations, and facilitating anonymous interactions, which can lead to better patient outcomes.
Interpretation:
The integration of AI chatbots in oncology could address significant gaps in patient support and information dissemination, particularly for breast and ovarian cancer patients, by providing tailored resources and real-time assistance.
Limitations:
Limited studies specifically focused on breast and ovarian cancer chatbots, which may skew the understanding of their effectiveness.
Existing reviews primarily address patient education, neglecting other potential functions, which could limit the perceived utility of chatbots.
Conclusion:
Chatbots represent a promising tool for personalizing cancer care delivery, but further research is needed to explore their full potential in breast and ovarian cancer management, particularly in areas such as user engagement and clinical outcomes.
