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 deep dive into FHIR R4 for developers. Learn about key resources, REST APIs, common pitfalls, and how to integrate FHIR R4 with OMOP workflows using OMOPHub.
Alex Kumar, MS
A practical guide to Athena OMOP. Learn vocabulary structure, ETL/ML use cases, and how to integrate with Python/R via API for production-ready health data.
Dr. Lisa Martinez
A step-by-step guide to data quality checking for clinical OMOP pipelines. Learn to implement validation rules, use APIs for vocabularies, and automate your DQ.
Robert Anderson, PhD
Master the Common Terminology Criteria for Adverse Events (CTCAE). Learn its structure, grading, and how to map it to OMOP for better clinical data analysis.
James Park, MS
Unlock the power of Snomed Codes. This developer guide shows you how to use them for EHR data, advanced analytics, and AI/ML within the OMOP CDM.
Robert Anderson, PhD
Discover the icd 10 code for pulmonary hypertension, its meanings, how it's used in billing, and tips to find the exact code for your patient.
Robert Anderson, PhD
Unlock the power of health care databases. Learn to navigate EHRs, claims data, and the OMOP model to build robust data pipelines for analytics and AI.
David Thompson, PhD
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
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
Your definitive guide to esophagitis ICD 10 codes. Learn to accurately map K20 and K21 codes to OMOP concepts for clinical data analysis and research.
Dr. Rachel Green
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