

Healthcare data fragmentation is an enduring challenge for all stakeholders. That’s because while clinicians capture and share health information using words and language, IT systems rely on alphanumeric codes. Organizations across the healthcare ecosystem use different standards and code sets, creating another layer of fragmentation. Even within a single organization, there may be multiple versions of the same code sets.
Most organizations lack a sustainable, scalable way to manage this complexity. For years, they have relied on ad-hoc approaches — fueling technical debt, hindering agility, and creating barriers to AI-driven innovation.