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.
Master the FHIR $translate operation with our 2026 guide. Covers parameters, examples, & OMOP/OMOPHub integration for seamless vocabulary mapping.
Dr. Lisa Martinez
A step-by-step FHIR $lookup example. Learn to use curl and SDKs, interpret responses, and integrate lookups into OMOP vocabulary workflows with OMOPHub.
David Thompson, PhD
Learn FHIR to OMOP mapping with this developer guide. Covers terminology, ETL code examples, QA, and using OMOPHub to accelerate your data pipeline.
Alex Kumar, MS
Learn how the FHIR ValueSet expansion API works with practical examples. This guide covers $expand parameters, pagination, client code, and OMOPHub integration.
Alex Kumar, MS
Navigate the EHDS regulation. Our guide explains timelines, technical requirements for OMOP/ETL, and how to use tools like OMOPHub for compliance.
Alex Kumar, MS
A complete guide to the medical device API ecosystem. Learn about standards, architecture, security, and best practices for integrating device data using OMOP.
Alex Kumar, MS
A complete guide to the FHIR resource. Learn its structure, key types, REST examples, and how to map FHIR to OMOP/ATHENA for production ETL.
Alex Kumar, MS
Explore a deep technical comparison of HL7 vs FHIR. Our guide covers architecture, data models, OMOP mapping, and decision criteria for healthcare engineers.
Robert Anderson, PhD
A complete guide to the FHIR Validator. Learn to install, run, and automate validation against core specs and custom profiles in your CI/CD pipeline.
Robert Anderson, PhD
A deep dive into FHIR R4 for developers. Learn about key resources, REST APIs, common pitfalls, and how to integrate FHIR R4 with OMOP workflows using OMOPHub.
Alex Kumar, MS
Deep dive into openEHR vs FHIR. Compare architecture, data models, OMOP ETL, and use cases to choose the right standard for your health data projects.
Dr. Jennifer Lee
Explore how a terminology server enables healthcare interoperability, core functions, and practical integration patterns to help you pick the right solution.
Dr. Jennifer Lee