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.
A practical guide to designing, building, and operationalizing data quality dashboards for OMOP and healthcare ETL to boost reliability and stakeholder trust.
Dr. Rachel Green
A complete guide to the health data science workflow. Learn to master ETL, standardize data with OMOP, and deploy clinical AI models with confidence.
Alex Kumar, MS
Discover how healthcare analytics drives better patient outcomes with scalable data pipelines, OMOP standards, and AI-powered models.
James Park, MS
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
A practical guide to the NDC lookup for developers. Learn to map NDCs to RxNorm and OMOP concepts with code examples and optimize your healthcare ETL pipelines.
Dr. Lisa Martinez
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