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Can an AI chatbot save lives by answering texts about pregnancy?

An AI-powered chatbot in Kenya answers questions about pregnancy and new babies to cut the country's rate of maternal mortality. Donwilson Odhiambo/SOPA Images/LightRocket/via Getty Images hide captiโ€ฆ

Can an AI chatbot save lives by answering texts about pregnancy?
NPR News โ€” 17 September 2026
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An AI-powered chatbot in Kenya answers questions about pregnancy and new babies to cut the country's rate of maternal mortality. Donwilson Odhiambo/SOPA Images/LightRocket/via Getty Images hide caption

A network of clinics for pregnant women in Kenya set up an automated text messaging service to send out appointment reminders. But when the moms received the texts, they started to write back.

Some asked if it's safe to eat avocados during pregnancy (you can!). Others asked if certain symptoms they were experiencing, like swelling or headaches, are normal during pregnancy.

"At the time I joined I think we were getting less than 100 questions a day," recalls Jay Patel, director of technology for Jacaranda Health. "Now it's 15,000."

At first, Jacaranda hired nurses to answer questions one by one. But over the years since 2020, developers have created a program that uses artificial intelligence to understand patient's questions, prioritize them and flag when a user may need immediate medical care. It's called PROMPTS โ€” and is used by patients visiting public clinics in 24 Kenyan counties.

For women without a smartphone, cell reception, or easy access to the internet, a text to PROMPTS may be the fastest way to get a question answered. Other times, it's a reliable way to determine if a long trip to a hospital is necessary.

"If a mom in a rural part of Kenya starts bleeding at 2 a.m., she can't just Google it," Patel says. "But this service runs completely over SMS. It's completely free to the user, and it's accessible to anyone who has a basic phone."

About 7% of messages are flagged by the system as potentially urgent. These are routed directly to a nurse.

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"At the time I joined I think we were getting less than 100 questions a day,"
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