These enablers translate into actionable lessons for the main actors that sustain a health intelligence ecosystem: –For policy-makers: Treat PHI as national infrastructure. Like transport or electricity grids, its long-term value is realized only if it is continuously maintained, universally accessible and underpinned by clear standards. Without this, systems risk fragmenting into short- lived pilots, eroding public trust and wasting investment. –For payers: Design systems that act on interim indicators, not retrospective KPIs. Interim signals, such as changes in admission rates, prescribing patterns or biometric trends, allow payers to decide when to stop, adapt or scale an intervention. This reduces waste from persisting with ineffective services while also accelerating those that demonstrate value. –For providers: Embed feedback loops into clinical and operational practice. Continuous data- driven adjustment allows care teams to adapt in real time; for example, modifying treatment pathways when outcomes deviate, or reallocating resources when service demand spikes. –For researchers: Disaggregate and analyse data by age, geography and socioeconomic status to ensure inclusive outcomes. Granular analysis not only uncovers disparities but also improves the design of interventions, ensuring they are calibrated to diverse populations. –For investors and industry: Align innovation to system intelligence, not standalone pilots. Products and services that integrate with broader data ecosystems are more likely to succeed, as they face lower adoption friction, can demonstrate impact via system data and align with prevailing health system strategies, increasing their prospects for sustainable scale. –For individuals: Support consumers with accessible, transparent health data and personalized insights that aid informed decision-making in everyday life. By connecting individuals to their own health intelligence, through digital tools, preventive prompts and early warnings, systems can encourage shared responsibility and stronger engagement in long- term well-being. Collectively, these lessons underscore a single insight: building intelligence is not about technology alone. Success depends on aligning governance, regulation, incentives and culture around a shared commitment to understanding the full context of factors affecting health, advancing informed solutions and measurable progress.4.2 Lessons A New Era for Digital Health: Abu Dhabi’s Leap to Health Intelligence 25

A New Era for Digital Health 2026