By Harrison Muiru
Healthcare leadership in Africa now faces a defining test: whether we can turn the data already being generated across facilities, insurers, laboratories, pharmacies and public programmes into better decisions for patients. Every consultation, claim, prescription and referral tells part of the story. Too often, those stories remain locked in separate systems. When leaders cannot see the full picture, resources are wasted, accountability weakens and care suffers.
The stakes are high. Africa represents about 16% of the world’s population and carries 23% of the global disease burden, yet accounts for only 1% of global health expenditure, according to Africa CDC. WHO reports that the African Region’s Universal Health Coverage service coverage index stood at 44 in 2021, meaning less than half of the population accessed the services they needed. In this context, poor visibility is not a technical inconvenience. It is a leadership risk.
Across the continent, strong examples are emerging. Kenya is building digital health governance through the Digital Health Act and the Digital Health Agency, with the Ministry of Health reporting more than 10,000 facilities onboarded to integrated digital systems. Rwanda has invested in national digital public infrastructure and health intelligence capabilities. Ghana and Nigeria continue to use platforms such as DHIS2 to strengthen visibility into public health performance. These are not isolated technology projects. They are building blocks for more accountable healthcare systems.
The practical value is clear. A patient should not have to repeat tests because records cannot move between facilities. A county health manager should not discover medicine stock outs after patients have already been turned away. An insurer should not process claims without the ability to detect duplication, fraud, waste or abuse. A policymaker should not wait weeks for reports when real time data can show where pressure is building.
We must also be honest about exclusion. GSMA data shows that in low- and middle-income countries, rural adults are 25% less likely than urban adults to use mobile internet, while women are 14% less likely than men to be online via mobile. In Sub Saharan Africa, reports also point to deeper rural and gender divides. Digital health will only serve Africa if it is designed for community health workers, rural households, informal workers and people who still face barriers of cost, literacy, distance and trust.
Artificial intelligence can help African health systems identify unusual claims patterns, forecast demand, improve supply chains and strengthen disease surveillance. But AI is not a substitute for governance. Poor data will produce poor decisions faster. Biased data will deepen inequity. Fragmented data will limit national planning. Responsible AI begins with responsible data, clear privacy rules, cybersecurity, interoperability and accountability.
This is where leadership matters. Governments must set enabling policy and standards. Providers must move beyond isolated systems. Insurers must treat data as a strategic asset, not only an administrative record. Technology companies must build around real healthcare problems. Development partners must align investments with national priorities. Above all, the private sector must participate constructively in shaping standards that protect patients while allowing innovation to scale.
At Smart Applications International, our work across healthcare ecosystems has shown that connected platforms can improve transparency, reduce leakage, strengthen provider oversight and support better decisions. The real promise of digital health is not technology for its own sake. It is a healthcare system where a patient is seen, a claim is understood, a medicine shortage is anticipated and a policy decision is guided by evidence.
Africa cannot afford invisible healthcare. We need systems that connect patient journeys, financing, supply chains and public health intelligence. We need governance that protects privacy while enabling legitimate data use. We need digital investments that include the last mile, not only the most connected. And we need leaders who understand that data is now part of healthcare infrastructure.
The future of healthcare in Africa will not be defined by how much data we collect. It will be defined by whether we use that data to make care more responsive, more transparent and more equitable. That is the future our patients deserve, and it is the future we must build.
The Author is the Group Managing Director, Smart Applications International.
