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.
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
A practical guide to clinical informatics for developers. Learn about core data models, workflows, and modern tools to build a career in health IT.
Dr. Jennifer Lee
Elevate your HEOR analysis with our roundup of 8 essential tools and frameworks. Learn to leverage OMOP, SNOMED CT, RWE, and more for impactful research.
Dr. Rachel Green
Explore the complete pharmacovigilance lifecycle, from signal detection to scalable drug safety surveillance using standardized data models like OMOP CDM.
Dr. Rachel Green
Unlock the power of your healthcare data. Our guide to semantic mapping covers methods, challenges, and OMOPHub tools for true data interoperability.
Dr. Lisa Martinez
Unlock your data's potential with our guide to the OMOP common data model. Learn how data standardization drives breakthrough research, analytics, and AI.
David Thompson, PhD
A practical guide to NDC code lookup. Learn to handle NDC to RxNorm mapping, programmatic lookups, and data validation with actionable code examples.
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