Interoperability & Standards
FHIR Plus Ontologies: Semantically Rich Health Data Exchange
HL7 FHIR has become the dominant standard for health data exchange APIs, providing the structural interoperability layer that healthcare systems have needed for decades. But FHIR alone does not provide semantic interoperability — the meaning of data elements in FHIR resources must be defined by ontological bindings to make exchanges truly machine-interpretable.
Interoperability & Standards
Harmonising SNOMED CT, MedDRA, and ICD-11 in a Single Knowledge Layer
Pharmaceutical organisations routinely need to work with data coded to SNOMED CT, MedDRA, and ICD-11 — three large, detailed, and partially overlapping clinical terminologies with different design philosophies and different organisational scopes. Building a harmonised semantic layer over all three enables cross-terminology analytics that none of them supports individually.
Interoperability & Standards
HL7 CDA and the Limits of Document-Level Semantics
HL7 Clinical Document Architecture was a significant advance in clinical document standardisation, but its document-centric structure limits what can be extracted without NLP. Understanding where CDA semantics end and where NLP-based knowledge extraction must begin informs realistic planning for clinical document intelligence systems.
Interoperability & Standards
Beyond Syntactic Integration: True Semantic Data Alignment
Most pharmaceutical data integration projects achieve syntactic alignment — the data can be moved from one system to another in a consistent format — but not semantic alignment. The difference matters enormously for analytics, AI, and regulatory applications where the meaning of data, not just its structure, must be consistent.
Interoperability & Standards
Open vs. Proprietary Ontologies in Pharmaceutical Knowledge Infrastructure
The choice between open and proprietary ontologies in pharmaceutical knowledge infrastructure involves trade-offs between depth, update frequency, licensing cost, and strategic control. Most successful implementations use a hybrid approach — open foundations extended with proprietary domain-specific layers.