Saudi Arabia is already living the future of healthcare

While traveling to Riyadh for the Fortune Global Forum, FII9, and the Global Health Exhibition, I witnessed something that should be a wake-up call for health systems everywhere. Saudi Arabia is already operating the kind of connected, AI -enabled healthcare infrastructure many countries are still debating how to build. At FII9, the conversation was unmistakable. Global innovation momentum is shifting toward the Middle East, and nowhere more than Saudi Arabia, where national digital platforms like Sehhaty already give millions of residents unified access to their health data. At the Global Health Exhibition, I saw population-level analytics, AI-powered diagnostics, multiomic initiatives, and interoperable infrastructure deployed at a speed and scale that would take years in other countries. It made something clear: Healthcare does not have a data problem. We have a connection problem. LIFESTYLE DRIVES OUTCOMES, BUT REMAINS CLINICALLY INVISIBLE Studies show that lifestyle and environmental factors account for more than 80% of health outcomes. A healthy lifestyle can prevent the vast majority of chronic diseases, including heart disease and diabetes. And yet, the data that reflects how people actually live, how they eat, move, sleep, and manage stress, remains largely absent from clinical care. In the United States, for example, healthcare is not suffering from a data shortage. It’s drowning in data. Every day, people generate powerful information through wearables, continuous glucose monitors, fitness and sleep apps, and smart rings. As of 2023, nearly one in three Americans use a wearable to track their health, according to a Health Information National Trends Survey . These tools capture meaningful lifestyle signals that directly affect clinical outcomes. Yet almost none of this data reaches the exam room. It remains siloed on consumer platforms, invisible to clinicians, and unusable in medical decision making. This disconnect has consequences. Preventive opportunities are missed. Chronic conditions go unmanaged. Healthcare remains reactive instead of proactive. Clinicians rely on structured snapshots like lab results and prescriptions, important, but incomplete, because they capture what happens in the clinic rather than daily life. AI AS THE BRIDGE BETWEEN LIFESTYLE DATA AND CLINICAL CARE It’s not that clinicians are uninterested in wearable data. Many are eager. Remote patient monitoring has grown rapidly, with a 1,300% increase in related procedures between 2019 and 2022. However, the friction points are real. Data security is a concern. Device accuracy varies. Practices often lack the IT infrastructure to onboard new tools, train staff, and integrate multiple data streams. Most importantly, clinicians are overwhelmed. More raw data is not the solution. This is why healthcare systems need a bridge that makes lifestyle data usable, reliable, and safe in clinical settings. That bridge is clinical-grade AI. When lifestyle and longitudinal behavioral datasets are used at inference time via retrieval, AI’s outputs are grounded in real-world signals rather than abstract reasoning alone, distilling only the most relevant insights for the point of care. The goal is not another dashboard, but meaningful signals embedded within existing workflows that reduce burden rather than increase it. With the right tools, AI...

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