
Medical Ontology for LLMs: A Practical Implementation Guide
Learn how to build a medical ontology for LLMs using OMOP, SNOMED, and FHIR. Step-by-step pipelines, code, and governance included.
Insights on OMOP vocabularies, healthcare data standards, and observational health research.
Practical guides on OMOP vocabularies, healthcare data standardization, HEOR research methods, and observational health analytics. Written for data engineers, clinical informaticists, and researchers working with OHDSI tools.

Learn how to build a medical ontology for LLMs using OMOP, SNOMED, and FHIR. Step-by-step pipelines, code, and governance included.

Discover how healthcare data management solutions work, from OMOP and FHIR standards to ETL pipelines and developer-first APIs. A practical guide for 2026.

Master ICD-10 API lookup with this developer guide. Explore public APIs (WHO, NLM) and a unified solution with code examples for Python, R, and TypeScript.

Your guide to the clinical terminology server: functions, architecture, and choosing between self-hosting or managed APIs like OMOPHub.

Learn what FHIR MCP is and how it connects AI/LLMs to EHR data. This guide covers OMOP mapping, API examples, and security for modern healthcare integration.

Master the FHIR ConceptMap API. This guide covers the $translate operation, semantics, and best practices with code examples for real-world interoperability.

Understand the Value Set Authority Center (VSAC), its role in eCQMs, and how to navigate workflows. Simplify access with modern APIs like OMOPHub.

Learn to use the FHIR $validate-code operation with OMOPHub. This guide covers code examples, error handling, and integration into OMOP ETL pipelines.

Detect & prevent medical code hallucination in AI. Guide covers causes, examples, and practical mitigation with OMOPHub & standardized vocabularies.

An authoritative developer guide to the FHIR Terminology Server API. Learn core operations, see code examples, and connect FHIR to OMOP with OMOPHub.

A practical guide to clinical entity extraction NLP. Learn to build an end-to-end pipeline from annotation and modeling to normalization with OMOP vocabularies.

Learn how to perform a programmatic MeSH code lookup with the OMOPHub API. This guide covers Python/R examples, resolving to OMOP concepts, and best practices.