WHO Calls for Robust Health Data Policies to Power AI and Secure Public Trust in Europe

The WHO's policy brief urges European countries to strengthen health data governance to enable ethical AI integration, improve care quality, and build public trust. It highlights the need for interoperability, privacy safeguards, and inclusive stakeholder engagement to create resilient digital health systems.

In a world increasingly shaped by digital technologies and artificial intelligence, the governance of health data has emerged as a key determinant of the quality, equity, and sustainability of healthcare systems. The World Health Organization's recent policy brief, Health Data Governance in the Age of Artificial Intelligence: Policy Imperatives for the WHO European Region, distills critical insights from the 2022 WHO digital health survey and incorporates research from global institutions such as the OECD, the World Bank Group, the European Union Agency for Fundamental Rights, and the European Consumer Organisation. Together, these bodies make the case for a sweeping transformation in how health data is collected, shared, safeguarded, and ethically reused in the European Region. As countries race to modernize healthcare in a post-pandemic world, the WHO urges policymakers to act decisively and build governance systems that support both innovation and individual rights.

Pandemic Lessons Spur Digital Health Investment

The COVID-19 pandemic served as both a wake-up call and a catalyst. Countries with strong digital health systems and established data governance frameworks were able to respond quickly mobilizing large volumes of health data for real-time public health interventions. These capabilities did not emerge by chance. According to the 2022 WHO survey, 73% of European Member States allocated targeted funding to strengthen digital health infrastructure during the pandemic. Moreover, 86% now have laws guaranteeing patients access to their personal health data, a move widely recognized as essential for transparency and public trust.

However, the pandemic also laid bare glaring disparities. Some regions lagged significantly behind in digital preparedness, unable to access, share or act on health information efficiently. These gaps revealed the cost of neglecting data governance and underscored the urgency for long-term investment. Countries that once considered digital transformation optional now see it as a non-negotiable foundation for health system resilience.

Interoperability: The Next Frontier

Despite these gains, interoperability remains a major challenge. Although nearly all countries now prioritize information sharing and data integration, many struggle to adopt common technical standards. Health data often remains siloed trapped in incompatible systems, fragmented across institutions, or stored in legacy formats that hinder meaningful use. This lack of coordination not only impairs care continuity and public health surveillance but also blocks the full potential of AI-driven health applications.

The WHO emphasizes that seamless interoperability is essential not just for operational efficiency but for patient safety and health equity. Without it, even the most advanced AI tools are limited in their effectiveness. High-performing AI systems depend on vast, high-quality, and representative datasets. Poor-quality data biased, incomplete, or unstandardized can skew outcomes, mislead diagnoses, and deepen health disparities. To counter this, countries are encouraged to adopt FAIR data principles ensuring that health data is Findable, Accessible, Interoperable, and Reusable.

Trust and Ethics in the Age of AI

The introduction of AI into healthcare adds new layers of complexity to the data governance debate. While AI can accelerate diagnosis, personalized treatment, and optimize health services, it also raises ethical concerns. Who owns the data used to train algorithms? How are privacy, consent, and transparency protected? And how do we ensure that machine-led decisions are fair and accountable?

The WHO positions data governance as a critical enabler of trustworthy AI. It calls for the development of clear legal and ethical guidelines for data handling—including consent mechanisms, pseudonymization, bias mitigation strategies, and algorithmic oversight. Importantly, it stresses that governance should not be imposed top-down. Patients, healthcare workers, researchers, and civil society must be engaged as co-creators. Their inclusion is vital for ensuring that data systems reflect societal values, anticipate ethical pitfalls, and enjoy the public trust required for broad adoption.

Laws, Partnerships, and Global Blueprints

Several global and regional frameworks already offer roadmaps for reform. The OECD's Council Recommendation on Health Data Governance lays out 12 guiding principles. In the European Union, a sophisticated legal ecosystem is emerging: the General Data Protection Regulation (GDPR), the Data Governance Act, the Artificial Intelligence Act, and the European Health Data Space (EHDS) Regulation collectively promote high-quality, ethical, and privacy-compliant data use. These policies prioritize data quality, transparency, and interoperability while fostering ethical AI development.

But legal frameworks alone are not enough. The WHO underscores that successful governance requires substantial infrastructure and human capacity. Countries must invest in secure digital platforms, workforce training, institutional coordination, and systems to certify and label data quality. They must also overcome technological barriers such as outdated software and incompatible data repositories and actively communicate with the public to address fears of surveillance or misuse.

Ultimately, the brief argues that health data governance must be viewed not as an administrative afterthought, but as a strategic pillar of modern health systems. It is foundational to delivering safe, effective, and equitable care and it is inseparable from the broader mission of digital transformation. As AI becomes more embedded in clinical decisions, public health planning, and even individual care pathways, only countries that have built robust, inclusive, and future-ready data governance systems will be equipped to harness their full potential. The message is unequivocal: invest now, govern wisely, and build a health data ecosystem that is not only technologically advanced but socially trusted.