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.