Integrating Tamela's AI-powered solutions into Ethiopia's healthcare infrastructure to reduce maternal and infant mortality nationwide.
Learn More About Tamela's ImpactDespite significant progress in recent years, Ethiopia continues to face substantial challenges in maternal and infant health. With a predominantly rural population and limited healthcare infrastructure, the country struggles to provide adequate care to expectant mothers and newborns across its diverse regions.
Ethiopia has made remarkable strides in reducing its maternal mortality ratio by more than 70% since 2000, yet preventable deaths remain unacceptably high, particularly in rural and remote areas where access to healthcare facilities and skilled birth attendants is limited.
Maternal deaths per 100,000 live births
Infant deaths per 1,000 live births
Births attended by skilled health personnel
Ethiopia's diverse topography, including highlands, lowlands, and remote regions, creates significant barriers to healthcare access. Many women must travel more than 20km on foot to reach the nearest health facility.
With only 0.7 physicians per 10,000 people, Ethiopia faces one of the most severe healthcare worker shortages in Africa. Rural areas are particularly underserved, with limited access to skilled birth attendants.
Despite the expansion of health posts and centers through the Health Extension Program, many facilities lack essential equipment, medications, and diagnostic capabilities for maternal and newborn care.
Limited data infrastructure hampers effective monitoring and evaluation of maternal health programs. Many health facilities use paper-based systems, making it difficult to track patient outcomes and identify high-risk cases.
Tamela's technology is designed to complement and enhance Ethiopia's existing healthcare infrastructure, particularly the Health Extension Program and the Health Development Army, which form the backbone of the country's primary healthcare system.
Tamela equips Health Extension Workers with AI-powered diagnostic tools that extend their capabilities beyond basic care, enabling them to identify high-risk pregnancies with greater accuracy.
Integration with Ethiopia's tiered referral system ensures that patients identified as high-risk by Tamela's technology are promptly referred to appropriate levels of care.
Tamela's platform seamlessly connects with Ethiopia's HMIS, enabling real-time data sharing, improved record-keeping, and enhanced surveillance of maternal health indicators.
Recognizing Ethiopia's connectivity challenges, Tamela's technology operates effectively in offline environments, with data synchronization occurring when connectivity is restored.
Based on pilot implementations and modeling, integrating Tamela's technology into Ethiopia's health system is projected to reduce maternal mortality by 35% in target regions.
Tamela's community engagement approach and referral system improvements are expected to significantly increase the rate of births attended by skilled health personnel.
AI-powered risk assessment tools enable the identification of 65% more high-risk pregnancies compared to standard protocols, allowing for timely interventions.
Tamela's integrated data management system significantly improves the completeness and accuracy of maternal health data, enhancing program planning and evaluation.
Communities with Tamela implementation show tripled attendance at recommended antenatal care visits, improving early detection of complications.
Improved maternal care and early detection of complications are projected to halve neonatal mortality rates in regions with full Tamela implementation.