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.
Social determinants of health screening - Learn how to effectively implement social determinants of health screening within the OMOP common data model. This gui
Dr. Jennifer Lee
Unlock the power of health care databases. Learn to navigate EHRs, claims data, and the OMOP model to build robust data pipelines for analytics and AI.
David Thompson, PhD
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
Explore what is snomed and how this clinical terminology powers AI, research, and healthcare analytics.
Alex Kumar, MS
Unlock the power of Gene Ontology (GO) in your clinical data pipelines. This guide explains GO's structure, enrichment analysis, and integration with OMOP.
Dr. Rachel Green
Understand what is clinical decision support, its role in improving patient outcomes, and how it's revolutionizing modern healthcare with practical examples.
James Park, MS
A practical guide to healthcare interoperability solutions. Explore FHIR, OMOP, and integration patterns to build connected health applications.
Dr. Sarah Chen