Consultation Categories, Satisfaction, and Post-use Health Problems of Medical Chatbot Service Providing Medicine Use Recommendations for Women during Pregnancy and Lactation in Japan

抄録

Background: This study retrospectively evaluated the user experience and safety outcomes of medical chatbot service providing medicine use information to pregnant and lactating women.

Methods: The chatbot utilized in this study did not employ generative artificial intelligence (such as large language models). Rather, it was a rule-based system in which all response patterns were predefined. We collected user survey data between December 13, 2021, and August 10, 2022. User status, satisfaction, addressed consultation categories, and post-use health problems were analyzed.

Results: The study included 1,000 records, comprising 419 (41.9%) cases of pregnant women and 581 (58.1%) cases of lactating women across Japan. The overall satisfaction was 93.9%, with no significant difference between pregnant and lactating women (P = .866). Headache was the most frequently consulted category followed by cold symptoms and hay fever symptoms. High satisfaction levels were observed across the consultation categories. None of the participants indicated post-use health problems.

Conclusion: A medical chatbot service providing medicine use information to women during pregnancy and lactation can achieve high satisfaction and safety.