OHDSI/OMOP Train-the-Trainer
Learn how to navigate the OHDSI ecosystem—from data model to advanced analytics.
This multi-day training series provides participants with a comprehensive, hands-on introduction to the OHDSI ecosystem and its suite of analytic tools. Through guided sessions, attendees will gain familiarity with the OMOP Common Data Model (CDM), standardized vocabularies, and data quality principles before progressing to cohort development, data extraction, and advanced analytics in ATLAS and HADES. The program is designed to support participants at all levels—from those new to OHDSI tools to analysts and statisticians looking to deepen their technical expertise. Optional advanced sessions are available for those interested in treatment pathway analysis and applying OHDSI’s R-based HADES framework for research and publication.
How to use this site
This site is designed as a living companion to the OHDSI/OMOP Train-the-Trainer program.
Each week builds on the last — start with the earliest modules and progress through the sequence.
How to get the most out of it:
- 📘 Follow the modules in order — each one includes objectives, slides, and hands-on exercises.
- 🧭 Explore the “Exercises” section for SQL labs, Atlas walkthroughs, and vocabulary practice.
- 🗂️ Check “Resources” for curated references, external tools, and reading materials.
- 🧑🏫 Trainers: use the instructor notes and add site updates or examples as your sessions evolve.
All content in docs/ is version-controlled, so updates and new contributions are tracked automatically.
Sample Schedule
| Session | Date & Time | Focus |
|---|---|---|
| Environment Walk-through | Fri, Oct 31 · 12:00–1:00 | Access check for data and tools |
| Day 1 — OMOP Common Data Model | Fri, Nov 7 · 9:30–1:00 | Schema, key tables, Athena |
| Day 2 — Vocabulary & Data Quality | Fri, Nov 14 · 9:30–1:00 | Concept sets, DQD principles |
| Day 3 — Cohort Definition w/ ATLAS | Fri, Nov 21 · 9:30–1:00 | Cohorts and characterization |
| Day 4 — Data Extraction Tools | Mon, Dec 1 · 9:30–1:00 | Build analytic datasets |
| Post-training | Fri, Dec 12 · 11:30–1:00 | Q&A, next steps |
| Day 5 (Optional) — Treatment Pathways | Fri, Jan 9 · 9:30–1:00 | Sequences of care |
| Day 6 (Optional) — HADES | Fri, Jan 16 · 9:30–1:00 | R-based analytics framework |