Digital Health Records Across Africa: Progress, Privacy, and Pitfalls
A decade ago, most clinical encounters in Sub-Saharan Africa left no digital trace at all. A patient’s history existed, if it existed anywhere, on a paper card that could be lost, damaged, or simply left at a different clinic than the one they walked into next. That has started to change, and faster than many outside observers expected. Electronic health records, or EHRs, now touch millions of patient encounters across East and West Africa, built on a mix of open-source platforms, donor-funded programmes, and a handful of ambitious national systems, according to Kapsuletech’s overview of EHR adoption across the continent. But digitisation and functionality are not the same thing, and the gap between the two is where most of the continent’s digital health story is currently being written.
What counts as a digital health record, and what doesn’t
An EHR is not simply a scanned paper file. It is meant to be a structured, longitudinal system that follows a patient across facilities and over time, capturing diagnoses, medications, allergies, lab results, imaging, and immunisation history in one place. For that to work, several layers have to function together, as TechAfrica News’s breakdown of EHR infrastructure requirements lays out: a data-capture layer that records information consistently, an identity layer that reliably links a record to one patient, a connectivity layer that keeps the system usable where networks are weak, an interoperability layer that lets separate systems talk to each other, and a governance layer that decides who owns the data and who can see it.
Most African health systems have made real progress on the first of these and comparatively little on the rest. Platforms such as OpenMRS and DHIS2 are now deployed at scale, and Ethiopia’s DHIS2 rollout is among the largest anywhere on the continent for disease surveillance. But surveillance data and patient-level records are different things, and Ethiopia’s patient-level records, like those in many countries running similar systems, remain incomplete. The result, in much of Africa, is not a connected health system but a collection of separate, well-populated databases that cannot be combined into a single view of any one patient.
Where the fragmentation actually costs money and lives
That fragmentation is not just an inconvenience. Health systems that cannot see a patient’s prior records tend to repeat diagnostic work rather than build on it, and duplicate laboratory testing driven by unavailable prior results is estimated to consume between 5 and 10 percent of diagnostic budgets in systems without functional EHR infrastructure. For chronic conditions such as HIV, tuberculosis, and diabetes, where continuity of care matters most, incomplete records raise the risk of avoidable drug interactions and missed diagnoses.
The consequences showed up clearly during COVID-19. Countries with integrated digital health data were able to track spread and allocate vaccines in something closer to real time; countries without it struggled to answer basic questions about who needed protection first. Africa CDC’s Chief Digital Advisor, Jean-Philbert Nsengimana, has pointed to the more basic constraint underneath all of this: more than half of the continent’s health facilities still lack a reliable connection to power or the internet, which means the “digital health” conversation is, in many places, still a power and connectivity conversation wearing a different name.
The countries pulling ahead, and why
Rwanda is the most consistently cited example of what coordinated national leadership can achieve. A deliberate, sequenced approach, national policy first, legal grounding second, dedicated institutions third, has produced interoperable digital health systems across a large share of the country’s facilities, with mobile tools used by community health workers feeding into centralised dashboards that give near real-time visibility into system performance.
Kenya and South Africa have gone further on paper than in practice. Both have published national digital health strategies with interoperability frameworks built in, and South Africa was an early adopter of HL7 FHIR, the global standard for health data exchange that Kenya’s national digital health architecture also references. But both countries have seen their implementation timelines stretch well past initial targets, and Kenya’s experience over the past year illustrates why ambition alone does not guarantee a working system. The rollout of the Social Health Authority, the digital platform that replaced the National Hospital Insurance Fund in October 2024, has been repeatedly disrupted, including a March 2026 system failure that halted pre-authorisation approvals nationwide, on top of a separate billion-shilling fraud scandal that forced the closure of more than a thousand healthcare facilities.
Nigeria’s picture is more uneven still. Electronic medical record initiatives have gained real traction in tertiary hospitals, supported by the Federal Ministry of Health, but integration at the primary healthcare level, where the majority of Nigerians actually receive care, remains an early-stage effort rather than a national system.
The privacy problem nobody can outsource
Digitising health records does something paper files never did: it turns a patient’s medical history into an asset that can be copied, sold, leaked, or misused at scale, and Africa’s regulatory frameworks are only now catching up to that reality. In Nigeria, the Data Protection Act 2023 classifies health status as sensitive personal data, requiring enhanced safeguards from any hospital, clinic, pharmacy, or digital health platform that processes it, and the Nigeria Data Protection Commission has made privacy-preserving technology for health data an explicit priority. The framework exists. Enforcement is a different matter: as reporting on Nigeria’s recent cybersecurity crisis notes, the country recorded well over 100,000 data breaches in just the first quarter of 2025, and separate breaches at the Corporate Affairs Commission and at financial institutions this year have shown how exposed even well-resourced institutions can be.
Kenya’s Social Health Authority has produced a case study in exactly what these frameworks are meant to prevent. In August 2026, a government digital strategist publicly posted details of another individual’s private medical claims during an online dispute, prompting an outcry from privacy advocates and legal experts who pointed out that Kenya’s Data Protection Act and Health Act both explicitly bar disclosure of sensitive health information without consent. The episode was not a sophisticated hack. It was a reminder that once medical data is digitised and centralised, the weakest point in the system is often not the software but the humans who can access it.
South Africa’s healthcare sector, longer digitised than most of its peers, has faced a version of the same problem for years: health records carry information- diagnoses, treatment histories, medications- that can be commercialised for targeted advertising, used for insurance discrimination, or weaponised for blackmail if they leak, and healthcare data breaches carry among the highest per-record costs of any sector globally.
What actually separates progress from stalled pilots
Across the countries that have managed to move digital health records from pilot to functioning system, three factors recur more than any technical choice does: consistent national leadership willing to sequence policy before infrastructure, interoperability standards that are enforced rather than merely published, and sustained investment in training health workers rather than just deploying hardware. Systems that increase a nurse’s paperwork without offline functionality get abandoned for paper the moment connectivity drops, no matter how well designed the underlying software is.
The technology to build functional, interoperable digital health records already exists and is already running somewhere on the continent. What has been missing is not innovation but alignment: the governance to decide who owns patient data, the enforcement to make that governance mean something when it is tested, and the infrastructure investment to keep systems running in facilities that cannot yet count on reliable power. As more African governments digitise health records at population scale, the countries that get privacy and enforcement right early will be the ones whose citizens actually trust the systems built to serve them. The ones that don’t will keep discovering the cost of that gap one breach, one outage, and one lost record at a time.
