Information Needs for Artificial Intelligence Chatbot on Prenatal Care Among Women of Advanced Maternal Age: A Thematic Analysis.
Uri Bang, Hyun Kyoung Kim, Geum Hee Jeong
PMID 41676898WHAT IT FOUND
South Korean women aged 35 and older wanted an AI chatbot to interpret symptoms, explain prenatal tests, guide diet, medication, childbirth, postpartum recovery, breastfeeding, and local support.
This reports their needs, not evidence that a chatbot works.
Key findings
01The analysis identified four main themes: AI chatbot needs for advanced maternal age pregnancy, childcare, postpartum recovery, and breastfeeding.
02For pregnancy, participants wanted help interpreting symptoms such as uterine contractions, hypotension, anaemia, and fatigue, and wanted explanations of prenatal tests such as NIPT and amniocentesis.
03For childcare, postpartum, and breastfeeding, participants wanted help with newborn symptoms, physical and emotional recovery, milk supply, feeding, and breast care.
STILL TO COME
How it was doneWhat they foundWhat it means for RNs
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What it does not show
Thirteen participants were women attending childbirth classes in South Korea, so the needs may not represent all advanced maternal age pregnancies. Women currently receiving treatment for pregnancy-related or non-pregnancy-related health problems were excluded, so it says little about higher-risk pregnancies needing clinical care. Participants had limited experience with AI technology, so their stated chatbot needs may not reflect what they would ask after using one. The study did not test an AI chatbot, measure outcomes, or compare it with usual prenatal education.
Declared interests
The work was supported by the National Research Foundation. The authors declare no conflicts of interest.
The easy way to misread this
Do not read this as evidence that an AI chatbot improves maternal or newborn outcomes. The paper reports what the women wanted in a chatbot. No chatbot was tested, and no clinical outcomes were measured.