Data as Foundation

Building healthcare’s invisible infrastructure

Vision

To create healthcare information systems that are transparent, interoperable, and continuously learning. Data as Foundation envisions a future where every clinical, operational, and research decision is grounded in trusted data — seamlessly connected through shared meaning, robust governance, and intelligent architecture that evolves with healthcare itself.

The Data as Foundation Philosophy

Data as Foundation is built on the belief that data is not a by-product of healthcare but its essential infrastructure. It proposes five interlocking principles.

Meaning before technology: Shared semantics and metadata allow systems to change without losing understanding.
Governance as capability: Stewardship of data quality, provenance, and context ensures that information can be safely reused and repurposed.
Architecture as alignment: Enterprise architecture connects people, processes, and platforms around a coherent model of meaning rather than a single technology stack.
Metadata as infrastructure: Registries and definitions provide the connective tissue linking data to its clinical and operational context.
Intelligence through integrity: Trustworthy AI depends on trustworthy data — explainable, traceable, and grounded in evidence.

Together, these principles create an ecosystem where data flows confidently, decisions are transparent, and improvement becomes a property of the system itself.