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Taifa Care is developing an AI-powered system to track pregnancies, births, immunisation and child health while strengthening Kenya’s digital healthcare system.
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Business Taifa Care Plans AI System to Track Pregnancies, Births and Child Health Across Kenya News
Author: Nicholas Olambo
August 25, 2026
3 min.read
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Kenya is preparing to deploy an AI-powered health monitoring system under Taifa Care to track pregnancies, births, newborns, and child health as the government seeks to close persistent gaps in maternal and child healthcare.
Tender documents from the Digital Health Agency reveal plans to overhaul the Taifa Care platform with artificial intelligence-driven systems covering reproductive, maternal, newborn, child, and adolescent health.
The initiative comes as Kenya continues to face a high maternal mortality rate, increasing pressure on the government to improve early detection, monitoring, and response to health risks.
AI to Monitor Mothers and Children
The proposed system will create a digital platform dedicated to Reproductive, Maternal, Newborn, Child and Adolescent Health (RMNCAH).
The platform will integrate information across different stages of care, allowing health authorities to monitor patients from pregnancy through childbirth and into childhood.
The planned modules will cover antenatal care, delivery, postnatalservices,s and family planning.
The system will also incorporate immunisation tracking, adolescent health services, emergency obstetric care and maternal death surveillance.
By bringing these functions together, the government hopes to create a more comprehensive picture of maternal and child health across the country.
AI to Strengthen Birth and Death Registration
The digital overhaul will extend beyond clinical care. The Digital Health Agency plans to introduce an AI-enabled birth-and-death notification registry capable of linking disease surveillance information with civil registration services.
The system could allow authorities to receive health information more rapidly and identify emerging trends across different parts of the country.
A data-quality audit tool will also be developed to examine information contained within the Taifa Care database.
This could help address one of the biggest challenges facing large health information systems: inaccurate, incomplete or inconsistent data.
Kenya Still Faces High Maternal Mortality
The digital initiative comes against a worrying maternal health backdrop.
Kenya’s maternal mortality ratio stands at approximately 355 deaths per 100,000 live births, according to figures cited from the National Council for Population and Development.
Nearly 5,000 women and girls reportedly die every year from pregnancy and childbirth-related complications. Major causes include postpartum haemorrhage, obstructed labour, and eclampsia.
The country’s maternal mortality rate remains far above the UN Sustainable Development Goal target of 70 deaths per 100,000 live births by 2030.
The government is therefore betting on better data and faster intervention to help address preventable deaths.
Taifa Care Pushes Deeper Into Digital Health
The proposed AI system forms part of a broader digital transformation of Kenya’s healthcare system.
The Digital Health Agency has floated seven tenders covering different components of the planned Taifa Care overhaul.
The projects include the AI-driven RMNCAH platform, an AI-managed national blood bank system, a risk management system for DHA employees, and tools for improving the quality of Taifa Care data.
Consultants will also be expected to support implementation of FHIR standards within Taifa Care and the Health Information Exchange.
The objective is to improve how health information moves between systems and healthcare providers.
107,000 Community Health Providers to Get Smartphones
The AI initiative is also being supported by a major push to improve data collection at community level.
President William Ruto recently directed the Ministry of Health to equip 107,000 Community Health Providers with smartphones to accelerate the transmission of health information.
The workers are also expected to receive solar-powered chargers, first-aid kits, blood pressure machines, MUAC tapes, and weighing scales.
These tools are designed to improve the ability of community health workers to identify and respond to health risks before patients reach hospitals.
The combination of smartphones, community-level health data and AI could give the government a much broader view of maternal and child health trends.
Government Bets on Data to Reduce Preventable Deaths
The proposed system represents a major shift toward using technology to identify health risks earlier.
If successfully implemented, authorities could potentially track pregnancies more systematically, identify high-risk cases, monitor immunisation and detect changes in maternal or child mortality patterns.
But the effectiveness of the system will ultimately depend on the quality of information collected and how quickly healthcare workers act on the data.
Kenya’s challenge is therefore not simply building an AI platform.
It is ensuring that the technology reaches health facilities and communities, that workers are properly trained and that alerts generated by the system translate into timely medical intervention.
Taifa Care’s AI push could transform maternal and child health monitoring, but its success will depend on reliable data, equipped health workers, and rapid action on identified risks.
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Nicholas OlamboDigging where others dodge. With over a decade in journalism, I chase truth, expose rot, and tell stories that rattle power. From politics to human drama, no beat is too big—or too dirty.