The Business Model of Prevention

For decades, health leaders have promised a shift from "sick care" to "well care," but billing codes, cost-sharing structures, and reimbursement policies remain rooted in reactive, illness-driven models that leave preventive care undercompensated and patients underserved. Now continuous data streams from wearables, remote monitoring, genomics, and social determinants are giving health systems and payers unprecedented visibility into risk before it manifests as disease. When combined with AI and predictive analytics, these insights can drive early intervention and build the financial case for prevention by quantifying avoided admissions, improved outcomes, and reduced total cost of care. Can data finally make prevention economically viable? Let’s dig into what it will take to redesign incentives so clinicians are rewarded for keeping people healthy because can we really call this healthcare if that’s not the goal?