Healthcare organizations cannot unify fragmented patient data across systems to leverage AI effectively

Healthcare providers and health plans operate with patient data siloed across incompatible EHR systems, claims databases, and legacy platforms, making it impossible to create the unified datasets required for AI applications. This fragmentation blocks AI readiness and forces organizations to manually reconcile data or abandon AI initiatives entirely. Current data integration solutions are too slow, expensive, and require extensive IT resources that most health systems lack.