
Your Practical Guide to EHDS Readiness with OMOP
Achieve EHDS compliance faster. This guide explains how to leverage the OMOP CDM and OMOPHub to meet technical and semantic interoperability requirements.
Insights on OMOP vocabularies, healthcare data standards, and observational health research.
Practical guides on medical terminology mapping, healthcare data standardization, HEOR research methods, and observational health analytics. Written for data engineers, clinical informaticists, and researchers working with OHDSI tools.

Achieve EHDS compliance faster. This guide explains how to leverage the OMOP CDM and OMOPHub to meet technical and semantic interoperability requirements.

Master SDTM clinical trials with this complete guide. Learn ETL workflows, core domains, validation, and OMOP integration for compliant, high-quality data.

Unlock the power of openEHR and OMOP. This guide shows data engineers how to map clinical data, build robust ETL pipelines, and enable advanced AI analytics.

Unlock health data with our developer guide to medical ontologies. Learn to map SNOMED, LOINC, and RxNorm data within the OMOP Common Data Model.

Unlock the power of your clinical trial dataset. Learn to source, harmonize, and map clinical data to the OMOP CDM with practical workflows and expert tips.

A practical guide to clinical NLP. Learn how to transform unstructured EHR data into actionable insights and integrate it with the OMOP common data model.

Learn to build a production-ready ICD 10 codes converter using OMOPHub. This guide covers setup, code mapping, versioning, and performance optimization.

Unlock the phenotype of sickle cell disease. A practical guide for researchers on translating clinical data into computable phenotypes using OMOP.

Explore the top healthcare common data models like OMOP and i2b2. Learn how to choose, migrate, and leverage CDMs for analytics, ETL, and AI in 2026.

Master SNOMED code lookup with this guide. Learn to use REST APIs and SDKs (Python/R) for ETL, clinical research, and AI data pipelines.

Master cohort study design from concept to code. Learn how to implement robust retrospective studies with OMOP, Python, and R to generate real-world evidence.

Master the ICD 10 code for COPD. Our expert guide covers J44 codes, OMOP CDM mapping, and best practices for clinical data analysis.