Expert training · Rotterdam · September 2026

The OMOP
Practitioner

Data quality · Cohort design · Real-world evidence

7–9 September 2026  ·  Roommate Bruno, Rotterdam  ·  Max. 30 participants

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About the training

You've built your OMOP CDM.
Now let's make it shine.

In the OHDSI community, we've come a long way together: standardizing health data across hundreds of institutions, building shared tools, and growing a community that spans the globe. The next level is realizing the full value of your CDM: ensuring high-quality, analysis-ready data, robust processes for maintenance and updates, and reliable evidence generation within your organization and in multi-center studies.

This 3-day expert training brings together max. 30 OMOP implementers for an intensive, hands-on programme in the heart of Rotterdam. You'll work directly with the tools the community has built — including the Data Quality Dashboard, ATLAS, and CohortDiagnostics — and leave with concrete improvement pointers and a personal 30-day action plan.

The training is delivered by the team of the Department of Medical Informatics, Erasmus MC, bringing more than a decade of experience in operationalising OMOP CDM in Europe through EHDEN, DARWIN EU®, and the OHDSI Europe Coordination Center.

Format
3-day intensive, hands-on, in-person
When
7–9 September 2026Full day · Full day · Half day
Where
Roommate Bruno, RotterdamHeart of the city, easy rail access
Cohort
Maximum 30 participantsUp to 5 BYOO slots — see prerequisites
Delivered by
Dept. of Medical Informatics, Erasmus MC
Early bird
€1,800 excl. VATRegister before 1 July 2026
01
Full day
Data Quality
From source data to trustworthy CDM
7 September 2026
09:00
Welcome & framing
Going from data holder to data user — setting the stage for three days of hands-on work.
10:00
Setting the scene: Why data quality matters
Real-world DQ perspective, including an IPCI roundtable discussion with an invited speaker.
10:45
Lecture: Introduction to Data Quality in OMOP
  • Types of DQ and frameworks
  • How the CDM structure helps surface DQ issues
  • Metadata and the DARWIN EU validation process
11:45
Hands-on
Tool: DataQualityDashboard (DQD)
  • Architecture, checks, and severity levels
  • Reading DQD outputs: what to act on, what to deprioritise
  • Exercise on synthetic and (for BYOO) institutional data
14:00
Group activity BYOO
Compare DQD results across organisations
Participants share and compare DQD patterns in facilitated small groups. BYOO participants share from their own institutional data where permitted. What are the common issues in the network?
15:00
Hands-on
Tools: CdmOnboarding & Achilles
Full data characterisation beyond DQD. Exercises on pre-loaded synthetic outputs: interpretation and comparison across tools.
16:15
Iterative improvements & continuous maintenance
  • Typical root-cause → fix pathways, with examples from attendees
  • Vocabulary remapping, CDM version updates, archiving
  • Continuous quality monitoring with Ares: comparing results over time
17:00
Analytical quality
Testing analytical packages; test generator · CohortDiagnostics in the DQ context · Software development lifecycle management.
17:45
BYOO
One-on-one: dataset-specific DQD feedback
BYOO participants rotate through faculty feedback slots on their institutional data. All other participants receive feedback on synthetic exercise outputs. Every participant leaves with written top 3 improvement pointers.
02
Full day
Designing a study on OMOP
8 September 2026
09:00
Recap Day 1 & Q&A
DQ findings from Day 1 and what they mean for study design today.
09:30
Lecture: ATLAS & HADES — introduction
  • What is needed for designing a network study?
  • Study phases: Exploration → Initiation → Implementation → Execution → Dissemination → Archiving
10:15
Lecture: The multifactorial components of study feasibility in a data network
How to assess and communicate study feasibility before committing to a full design.
10:30
Hands-on BYOO
Tool: ATLAS Cohort Design
  • Inclusion/exclusion logic, temporal windows, observation periods, common design mistakes
  • How DQ issues from Day 1 interact with cohort validity
  • Define a treatment cohort and comparator cohort — BYOO participants may optionally use their own CDM
14:00
Hands-on
Tool: ATLAS Characterisation & CohortDiagnostics
  • Run CohortDiagnostics and interpret outputs
  • Identify design issues flagged by the data
  • Feasibility check: EHDEN Portal / EMA Catalogue
15:00
Lecture: TreatmentPatterns — study design principles
What TreatmentPatterns measures and when to use it · Key design choices: index date, event windows, treatment lines.
16:00
Hands-on
Exercise: ATLAS TreatmentPatterns module
Configure and run a TreatmentPatterns study in ATLAS · Interpret output: Sankey diagrams, treatment sequences.
16:45
Hands-on
Exercise: TreatmentPatterns R package
Run the same study using the R package · Study code development; results viewer; reproducibility and publication readiness.
17:30
Group debrief
What did we find, what would we do differently?
Linking DQ issues from Day 1 to study validity observations from today.
03
Half day
Operationalising your OMOP CDM
9 September 2026 · Ad-hoc based on remaining topics from Days 1 & 2
09:00
Optional morning clinic (pre-bookable, 30-min slots)
Individual follow-up with faculty on your DQD results or study design questions.
10:00
Operationalising OMOP in your organisation
  • Value proposition of OMOP: how to convince your organisation
  • Technical, data governance, and organisational dimensions
  • EHDS: implications and opportunities for OMOP implementers
11:00
How to initiate a network study
Connecting with other institutes on OMOP CDM · Data use agreements · Protocol writing essentials.
11:30
Exercise
Action planning: 30-day improvement plan
Each participant drafts a concrete 30-day improvement plan for their organisation. Peer review in pairs — you leave with something real.
12:15
Wrap-up, key take-aways & course evaluation
Summary of the three days · Feedback form · Cohort evaluation.

Before you arrive

Prerequisites

This is an expert-level course. Participants are expected to have working experience with OMOP CDM before attending. If you are newer to OMOP, the EHDEN Academy provides excellent preparation.

🎓

EHDEN Academy modules

Complete the CDM, Vocabulary, and DQD courses on academy.ehden.eu before arriving. These are free and take approximately 4–6 hours total.

🗄️

OMOP CDM familiarity

You should have experience working with an OMOP CDM instance — either your own institution's or a shared one. Basic SQL literacy and familiarity with ETL concepts are required.

🔧

Tool access

Bring a laptop. Access to ATLAS will be provided for exercises. If you plan to use R (Day 2), the TreatmentPatterns package should be installed in advance — instructions will be sent with your confirmation email.

📊

DQD results (BYOO only)

BYOO participants must have run DQD, CdmOnboarding, and Achilles on their data before Day 1 and have results available. A data-readiness check will be scheduled approximately 2 weeks before the course.

⬡ BYOO — Bring Your Own OMOP CDM

Up to 5 participants may apply for a BYOO slot, giving them access to live faculty feedback on their own institutional data throughout the course. BYOO selection is based on data readiness and organisational context and is confirmed at registration.

  • Minimum CDM version: 5.3
  • DQD, CdmOnboarding, and Achilles must have been run — results available before Day 1
  • Participant must have organisational authorisation to use their data in a training setting
  • A 30-minute pre-course data readiness call will be scheduled with selected BYOO participants

Registration

Pricing

All prices exclude VAT. The cohort is capped at 30 participants — we expect high demand. Early bird closes 1 July 2026.

Early bird
Early bird rate
€1,800
per participant, excl. VAT
Register before 1 July 2026
Save €300 on the standard rate
Standard rate
€2,100
per participant, excl. VAT
From 2 July 2026
Subject to availability
Group rate
€1,900
per participant, excl. VAT
3 or more from same organisation
Contact us to arrange group registration

Who delivers this

Department of Medical Informatics, Erasmus MC

The training is delivered by a team with more than a decade of hands-on experience operationalising OMOP CDM across Europe — not just teaching the tools, but building and running them at scale.

EHDEN consortium
DARWIN EU® Coordination Center
OHDSI Europe Coordination Center
100+ OMOP CDM implementations
DQD, Achilles, CohortDiagnostics contributors
Network studies across 30+ data partners

Ready to take your CDM to the next level?

30 seats. Hands-on. Rotterdam. September 2026.

Early bird closes 1 July 2026 — €300 saving

Register now → Contact us

Questions about BYOO eligibility, group rates, or invoicing? Email us at omop-practitioner@erasmusmc.nl