AI for Impact at scale in Ghana
Our expansion into Ghana reflects a bold commitment to one of West Africa’s most dynamic and digitally progressive nations. The Ghana programme is designed to align with the country’s National AI Strategy (2023–2033) and its vision of harnessing AI for inclusive growth. Working alongside government institutions and development partners, we aim to embed People-First AI into Ghana’s public systems across healthcare, agriculture, and education.
OUR APPROACH TO AI-POWERED HEALTHCARE IN GHANA
We deploy People-First AI to address Ghana’s most pressing healthcare challenges — from tuberculosis and child malnutrition to maternal mortality and foundational literacy. Our approach is rooted in Ghana’s own National AI Strategy (2023–2033) and designed to work within the country’s existing public health infrastructure, including the Community-based Health Planning and Services (CHPS) network that reaches even the most remote communities.
Across our areas of focus, we collaborate with the Ghana Health Service, district health directorates, academic institutions, and development partners to ensure every solution is locally validated, clinically relevant, and built for population-scale deployment.
Ghana recorded over 20,000 TB cases nationally in 2024, yet the case detection rate in some regions remains as low as 31%. Traditional diagnosis relies on sputum-based GeneXpert testing, but many patients cannot produce sputum samples — creating a critical diagnostic bottleneck. Our AI-powered cough-based screening tool offers a non-invasive alternative that can be deployed at CHPS compounds and district hospitals. Computer-aided detection (CAD) technology is already being piloted in Ghana's Bono East Region, where it identified 9.2% of screened individuals as possible TB cases that would otherwise have been missed. We aim to scale this approach across all 16 regions, prioritizing districts with the lowest detection rates and limited access to laboratory infrastructure.
One in every five children in Ghana experiences stunted growth during the first 1,000 days of life, and 45% of pregnant women suffer from anaemia. Northern Ghana bears the heaviest burden, with stunting rates reaching 37% in some regions. Limited knowledge of infant feeding practices, the cost of nutritious food, and poor dietary diversity compound the problem. Our AI-driven screening tools enable community health officers to rapidly assess nutritional status at the point of care — identifying at-risk mothers and children before complications arise. By integrating with Ghana's District Health Information Management System (DHIMS2), we ensure that screening data flows directly into national health planning and resource allocation.
Ghana's CHPS network — with over 3,000 primary health facilities — is the backbone of community healthcare, yet data quality and timeliness remain persistent challenges. Despite significant improvements in antenatal care coverage (now at 96%), progress in skilled delivery and postnatal care has lagged. We work to embed AI-powered decision-support tools within the CHPS framework, enabling community health officers to make faster, evidence-based decisions. From automated risk flagging during antenatal visits to real-time growth monitoring for infants, our solutions are designed to amplify — not replace — the expertise of Ghana's frontline health workers.
Less than 1% of global foreign aid is directed toward nutrition, despite poor nutrition being the underlying cause of nearly half of all child deaths.
We believe AI must serve the most vulnerable first. Every tool we build in Ghana undergoes local clinical validation, community consultation, and alignment with national regulatory frameworks. We prioritize open-source architectures and knowledge transfer so that Ghana’s own institutions — from the Ghana Health Service to university research centres — can own, adapt, and sustain these solutions long after initial deployment. Our commitment is not just to technology, but to building lasting capacity within Ghana’s health ecosystem.
Ghana’s public health infrastructure serves over 34 million people, yet critical gaps persist. Only 68% of the required health workforce is available for service delivery. An estimated 44,000 new TB cases emerge annually, with many going undetected. Maternal mortality remains unacceptably high, driven by preventable complications and limited access to timely care — particularly in rural communities served by overstretched frontline health workers.
Wadhwani AI Global partners with the Ghana Health Service and the Ministry of Health to deploy AI-powered clinical decision support tools that strengthen — not replace — existing health systems. From AI-driven TB screening at community health facilities to AI for maternal and child health monitoring, our solutions equip frontline and community health workers with real-time, actionable intelligence at the point of care.
Sustainable impact requires more than technology. We invest in AI capacity building for the Ghana Health Service, training health professionals to integrate digital intelligence into disease surveillance, the National TB Control Programme, and national health mission priorities. Our consulting and implementation approach ensures every AI solution is co-designed with local stakeholders and aligned with Ghana's own health system goals.
Guided By Context, Growing With Purpose
