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 complete guide to the clinical outcome assessment definition, its subtypes, regulatory context, and practical steps for mapping COAs into the OMOP CDM.
James Park, MS
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.
Dr. Jennifer Lee
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.
James Park, MS
Guide for developers: Ingest & map FHIR Patient resources to OMOP CDM. Includes Python/R code & OMOPHub best practices for efficient data integration.
Robert Anderson, PhD
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.
James Park, MS
A developer's guide to EHR integration. Learn to build a scalable analytics pipeline with OMOP, FHIR, and OMOPHub for seamless, real-world data workflows.
Dr. Sarah Chen
Achieve EHDS compliance faster. This guide explains how to leverage the OMOP CDM and OMOPHub to meet technical and semantic interoperability requirements.
James Park, MS
A practical guide to designing, building, and operationalizing data quality dashboards for OMOP and healthcare ETL to boost reliability and stakeholder trust.
Dr. Rachel Green
Explore warm autoimmune hemolytic anemia in OMOP: learn cohort-building, vocabulary navigation, and outcome analysis for data scientists.
Michael Rodriguez, PhD
Explore a practical inclusion criteria example to design robust clinical cohorts. Learn steps, templates, and tips to boost study quality.
Robert Anderson, PhD