04, 2026
World

SMS-Based AI Tool Expands Access to Maternal Healthcare Advice Across Kenya

What began as an ordinary digital reminder service has evolved into an essential healthcare resource for thousands of expectant mothers throughout Kenya. Across the country, pregna

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SMS-Based AI Tool Expands Access to Maternal Healthcare Advice Across Kenya

What began as an ordinary digital reminder service has evolved into an essential healthcare resource for thousands of expectant mothers throughout Kenya. Across the country, pregnant women are utilizing an artificial intelligence-driven text messaging service known as PROMPTS to navigate the uncertainties of pregnancy, receive critical health guidance, and identify emergency symptoms that require urgent medical attention.

The innovative platform originated by chance when a network of maternal health clinics set up a basic automated text messaging platform. The initial intent was simply to notify pregnant patients about their upcoming clinical appointments. However, once expectant mothers began receiving notifications on their mobile devices, they started utilizing the two-way channel to text back with pressing questions about their health, bodies, and pregnancies.

In the early stages, the questions submitted by mothers covered a wide spectrum of everyday concerns. Some women sought dietary reassurance, asking whether staple foods like avocados were safe to consume while pregnant—a question the service confirmed in the affirmative. Other inquiries focused on physical symptoms that caused distress or confusion, such as unusual bodily swelling, persistent headaches, and general discomforts associated with pregnancy.

As word of the interactive messaging line spread, demand quickly surged beyond initial expectations. Jay Patel, the director of technology at Jacaranda Health, noted that when he first joined the organization, the platform handled fewer than 100 incoming questions on any given day. Today, the system manages a staggering volume of approximately 15,000 inquiries every single day.

To cope with the early influx of messages, Jacaranda Health initially hired human nurses tasked with reading each text and formulating individual replies. However, as the daily message count rapidly multiplied, relying solely on manual responses became unsustainable. The organization needed a scalable approach to ensure that no patient was left waiting for crucial guidance.

Beginning in 2020, software developers began building a specialized artificial intelligence system to handle the increasing volume. This technology was designed to read, analyze, and comprehend incoming patient inquiries. By interpreting the language and intent of each message, the system can categorize concerns, prioritize their severity, and instantly deliver reliable information for standard queries.

Today, the resulting program, christened PROMPTS, is actively deployed across public health facilities in 24 Kenyan counties. It serves as a continuous medical support system for patients receiving care in the public sector, offering guidance both before delivery and after their babies are born.

A key strength of the PROMPTS platform lies in its technical accessibility. The service is entirely free of charge for the user and operates strictly through basic Short Message Service (SMS) text messages. This design choice ensures that women do not require modern smartphones, expensive cellular data subscriptions, or high-speed internet connections to receive reliable medical advice.

For many women living in remote or low-resource settings, standard search engines and web-based health portals remain completely out of reach. Patel highlighted the stark reality faced by expectant mothers in rural communities, observing that if a woman experiences sudden bleeding at two o'clock in the morning, searching online for answers is simply not an option.

In these vulnerable moments, an SMS text message sent to PROMPTS offers an immediate and practical lifeline. The platform assists families in evaluating the seriousness of symptoms, helping them determine whether a difficult, expensive, or time-consuming trip to a regional hospital is necessary.

While the artificial intelligence resolves many common questions automatically, the platform incorporates strict safeguards for potential emergencies. The system is programmed to identify red-flag indicators, and data shows that roughly 7% of all incoming messages are classified as potentially urgent health matters.

Whenever a message is flagged as critical, the automated conversational flow is bypassed entirely. The text is immediately transferred away from the AI system and redirected into a high-priority queue at the organization's dedicated clinical help desk.

Once an urgent query reaches this queue, on-duty nurses take over immediately. The medical staff can quickly inspect the mother's past interaction history to understand her medical context and initiate an immediate direct phone call to provide triage, guidance, and instructions on seeking emergency clinical care.

Rapid intervention is vital in Kenya, where maternal mortality remains a major public health challenge. Approximately 6,000 women die each year due to pregnancy-related complications or childbirth issues, representing an average toll of roughly 16 maternal deaths every single day across the nation.

Healthcare data indicates that nearly one-third of these maternal fatalities are linked directly to delays in seeking formal medical treatment. When expectant mothers hesitate to seek care due to uncertainty, lack of information, or distance from facilities, treatable complications can escalate into life-threatening emergencies.

By providing instant clarity and directing urgent cases directly to healthcare professionals, the PROMPTS system addresses these dangerous delays. Through a blend of artificial intelligence triage and human clinical support, the text-based service continues to support thousands of mothers across Kenya, demonstrating how basic mobile technology can bridge gaps in maternal healthcare.

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Editor Hukum. Alumni FH UI. Meliput pengadilan, MA, dan judicial review.

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