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 clinical NLP. Learn how to transform unstructured EHR data into actionable insights and integrate it with the OMOP common data model.
Dr. Emily Watson
Learn to build a production-ready ICD 10 codes converter using OMOPHub. This guide covers setup, code mapping, versioning, and performance optimization.
Dr. Jennifer Lee
Unlock the phenotype of sickle cell disease. A practical guide for researchers on translating clinical data into computable phenotypes using OMOP.
Dr. Rachel Green
Explore the top healthcare common data models like OMOP and i2b2. Learn how to choose, migrate, and leverage CDMs for analytics, ETL, and AI in 2026.
Dr. Rachel Green
Master SNOMED code lookup with this guide. Learn to use REST APIs and SDKs (Python/R) for ETL, clinical research, and AI data pipelines.
David Thompson, PhD
Master cohort study design from concept to code. Learn how to implement robust retrospective studies with OMOP, Python, and R to generate real-world evidence.
Dr. Sarah Chen
Master the ICD 10 code for COPD. Our expert guide covers J44 codes, OMOP CDM mapping, and best practices for clinical data analysis.
Dr. Emily Watson
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
Your expert guide to the right hip pain ICD 10 code M25.551. Learn about definitions, related codes, OMOP mapping, and programmatic examples.
Dr. Sarah Chen
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
Master chronic pain ICD 10 coding. Our guide covers key codes, OMOP mapping, API examples, and data analysis for healthcare data professionals.
Dr. Jennifer Lee
Explore the critical differences in the FHIR versus HL7 debate. This guide covers architecture, data models, and use cases for data engineers using OMOP.
David Thompson, PhD