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.
Unlock the power of OMOP data. Our guide explains the CDM, vocabularies, ETL, best practices, and how OMOPHub APIs accelerate development and research.
David Thompson, PhD
A step-by-step guide to FHIR to OMOP vocabulary mapping. Learn to automate mappings with OMOPHub APIs, handle code systems, and avoid common pitfalls.
Dr. Sarah Chen
A step-by-step guide to data quality checking for clinical OMOP pipelines. Learn to implement validation rules, use APIs for vocabularies, and automate your DQ.
Robert Anderson, PhD
Unlock the power of Snomed Codes. This developer guide shows you how to use them for EHR data, advanced analytics, and AI/ML within the OMOP CDM.
Robert Anderson, PhD
Master vocabulary concept maps with this guide. Learn to design, generate, and validate OMOP mappings with real-world scenarios and expert tips.
Alex Kumar, MS
Explore the omop common data model and learn how to turn raw health data into research-ready insights with standardized vocabularies.
Dr. Jennifer Lee
Learn to build a production-ready ICD 10 codes converter using OMOPHub. This guide covers setup, code mapping, versioning, and performance optimization.
Dr. Jennifer Lee
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.
Dr. Sarah Chen
A complete guide to the health data science workflow. Learn to master ETL, standardize data with OMOP, and deploy clinical AI models with confidence.
Alex Kumar, MS
Unlock the power of your healthcare data. This guide explains the OMOP data model, covering core concepts, ETL processes, and real-world applications.
Dr. Lisa Martinez