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 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
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.
Michael Rodriguez, PhD
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