
Entity Extraction NLP: A Guide to Clinical Text Analysis
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.
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.

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.

A complete guide to the OMOPHub OMOP vocabulary API. Learn about REST/FHIR endpoints, SDKs, auth, and common integration patterns for OHDSI/ATHENA data.

Learn how the FHIR ValueSet expansion API works with practical examples. This guide covers $expand parameters, pagination, client code, and OMOPHub integration.

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.

Leverage a scalable OMOP API for clinical AI to build robust models. Integrate OMOPHub for ETL, NLP, and training with Python/R examples in 2026.

A developer's guide to building end-to-end OMOP semantic search. Learn architecture, embedding workflows, and integration with the OMOPHub API.

Understand the precise specimen definition medical professionals use. Explore types, their role in SNOMED & OMOP, & how to map them for clinical data analysis.

A complete guide to the clinical outcome assessment definition, its subtypes, regulatory context, and practical steps for mapping COAs into the OMOP CDM.

Explore what is an onset date in clinical data and how to map it in OMOP. Master 2026 ETL best practices, SQL queries, and common pitfalls for better research.

A step-by-step OMOP Epic guide for developers. Learn to map and ingest Epic EHR data into the OMOP CDM using OMOPHub, with code examples and pro tips.

Guide for developers: Ingest & map FHIR Patient resources to OMOP CDM. Includes Python/R code & OMOPHub best practices for efficient data integration.

Learn programmatic OMOP concept mapping with a step-by-step guide using the OMOPHub API. Includes code examples for Python/R/TS, validation, and versioning.