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

Authors

Koichi Sakakibara, Daisuke Shigemi, Rena Toriumi, Nobuaki Michihata, Hideo Yasunaga

Published in

Annals of clinical epidemiology. Volume 8. Issue 4. Pages 127-134. Oct 01, 2026. Epub Dec 24, 2025.

Abstract

This study retrospectively evaluated the user experience and safety outcomes of medical chatbot service providing medicine use information to pregnant and lactating women.
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.
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.
A medical chatbot service providing medicine use information to women during pregnancy and lactation can achieve high satisfaction and safety.

PMID:
43022444
Bibliographic data and abstract were imported from PubMed on 13 Nov 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.