Digital Sovereignty, Trusted Public Health Supply Chain Data Governance and Responsible AI in Africa.
A New Governance Paradigm for Sustainable Health Systems
Africa is undergoing an unprecedented digital transformation in health. Over the past two decades, governments, development agencies, and technical partners have invested heavily in digital health systems, pharmaceutical supply chains, disease surveillance, and data-driven decision-making. While these investments have improved access to health information and strengthened service delivery, they have also created a new strategic challenge: who governs Africa’s health and pharmaceutical data?
Health data has become one of the continent’s most valuable strategic assets. Information on medicine procurement, supply chain performance, stock availability, market intelligence, regulatory approvals, forecasting, and consumption patterns is no longer merely operational data, it is critical information that influences national security, public health policies, industrial development, procurement negotiations, and emergency preparedness. Yet, despite its strategic importance, much of this data is generated through donor-funded programmes and managed across fragmented digital platforms with varying governance rules, often outside a harmonized national framework.
This growing dependence raises fundamental questions about digital sovereignty. African countries increasingly produce the data that powers global health intelligence and Artificial Intelligence (AI) applications, while often retaining limited control over how that data is stored, shared, analysed, or reused. In many instances, external organizations become custodians of strategic national datasets, while governments remain consumers of analyses generated elsewhere. Such a model risks creating long-term dependency and undermining national ownership of critical health information.
The rapid expansion of AI further amplifies these concerns. AI offers enormous potential to improve demand forecasting, optimize pharmaceutical supply chains, detect fraud, anticipate disease outbreaks, and support evidence-based policy decisions. However, without robust governance, AI can also introduce significant risks, including algorithmic bias, lack of transparency, privacy breaches, unauthorized secondary use of data, and decision-making processes that remain opaque to national authorities. The widespread deployment of AI solutions without agreed ethical standards or governance mechanisms may inadvertently compromise both national interests and public trust.
This challenge is not an argument against international cooperation or technological innovation. On the contrary, development partners have played an essential role in strengthening health systems across Africa. However, digital transformation must evolve from a model centred on technology deployment to one focused on governance, accountability, and country ownership. Sustainable technical assistance should empower countries to manage and govern their own data rather than increasing dependence on external digital infrastructures.
It is within this context that the Africa Resource Centre (ARC) proposes a fundamentally different approach through the PredictWA Data Governance, AI & Trusted Health Supply Chain Data Space initiative. Rather than developing yet another digital platform, ARC advocates for a Pan-African Governance Framework that establishes common principles for the ethical, secure, and transparent use of health and pharmaceutical data.
The framework is built on several key principles. First, country ownership remains paramount: governments retain stewardship over their health data, while technical partners support rather than replace national institutions. Second, trusted data spaces provide secure environments where data sharing occurs under clearly defined governance rules, ensuring that access is based on agreed responsibilities and accountability mechanisms. Third, AI by design, ethics by default ensures that artificial intelligence supports and not replace public decision-making through explainable, auditable, and human-centred systems. Finally, privacy, cybersecurity, and regulatory compliance are integrated from the outset rather than being addressed as afterthoughts.
ARC’s vision also emphasizes institutional capacity building. Lasting impact will not come solely from introducing new digital tools but from strengthening national capabilities in data governance, AI oversight, cybersecurity, regulatory compliance, and pharmaceutical intelligence. Technical assistance should ultimately leave countries with stronger institutions capable of independently governing their digital ecosystems and negotiating equitable partnerships.
The proposed framework therefore seeks to transform the relationship between African governments and development partners. Instead of fragmented, project-specific data management approaches, it promotes a coordinated governance model that aligns all stakeholders around common standards for interoperability, ethical AI, data security, and national sovereignty. Such a framework would support collaboration while ensuring that strategic health data remains under nationally agreed governance arrangements.
As Africa advances its digital transformation agenda under the African Union’s Digital Transformation Strategy, the Africa CDC’s New Public Health Order, and the African Continental Free Trade Area, the continent has a unique opportunity to define global leadership in responsible health data governance. The objective is not to limit innovation but to ensure that innovation operates within transparent, ethical, and sustainable governance structures.
Ultimately, the future of African health systems will depend not only on access to medicines or digital technologies, but also on the ability of countries to govern the data that powers those systems. Health and pharmaceutical data should be recognized as strategic public assets that require the same level of protection, stewardship, and long-term investment as any other critical national infrastructure.
Through the PredictWA Data Governance, AI & Trusted Health Supply Chain Data Space, ARC offers a new vision for Africa, one in which digital sovereignty, responsible AI, trusted partnerships, and sustainable technical assistance come together to build stronger, more resilient, and more independent health systems across the continent. This is not simply a technological agenda; it is a governance agenda designed to ensure that Africa remains the owner, steward, and beneficiary of its own health data for generations to come.
