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 your EHR data. Our guide explains the Epic Clarity data model, ETL best practices, and mapping to OMOP for advanced healthcare analytics.
James Park, MS
Explore the real definition aggregate data and its role in healthcare. Learn to analyze, de-identify, and use it responsibly with proven strategies.
Dr. Sarah Chen
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.
Dr. Emily Watson
Discover how healthcare analytics drives better patient outcomes with scalable data pipelines, OMOP standards, and AI-powered models.
James Park, MS
Discover how healthcare analytics transforms raw clinical data into life-saving decisions. Our guide covers data sources, ETL, OMOP CDM, and modern tech stacks.
Robert Anderson, PhD
Master claims data analytics with our guide on ETL, OMOP normalization, and modern tooling. Turn raw healthcare claims into actionable, strategic insights.
David Thompson, PhD
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