Insights on OMOP vocabularies, healthcare data standards, and observational health research.
Master HFrEF ICD 10 coding with our definitive reference. Get code lists, OMOP mappings, and API examples for accurate healthcare data analytics and AI.
Dr. Jennifer Lee
Explore warm autoimmune hemolytic anemia in OMOP: learn cohort-building, vocabulary navigation, and outcome analysis for data scientists.
Michael Rodriguez, PhD
A practical guide to observational research. Learn to design studies, navigate real-world data, and use modern tools to generate reliable clinical insights.
Dr. Emily Watson
A definitive guide to SDTM. Learn to navigate core domains, implement best practices, and map SDTM to OMOP CDM for compliant clinical data pipelines.
Dr. Emily Watson
Discover how healthcare analytics drives better patient outcomes with scalable data pipelines, OMOP standards, and AI-powered models.
James Park, MS
Explore a practical inclusion criteria example to design robust clinical cohorts. Learn steps, templates, and tips to boost study quality.
Robert Anderson, PhD
Explore what does phenotype means in healthcare. Learn how computable phenotypes and OMOP transform EHR data into powerful research insights.
Dr. Jennifer Lee
Discover how to generate real world evidence (RWE) from complex healthcare data. Our guide covers RWD sources, OMOP standardization, and regulatory impact.
David Thompson, PhD
A definitive guide on sepsis vs septic shock for data engineers. Learn to map, code, and analyze these conditions in OMOP using SNOMED CT and ICD-10.
Dr. Emily Watson
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