Clinical data modeller path

Learn how to design and manage structured clinical data models using openEHR. This course covers archetypes, templates, and the tools you need to build standardised, interoperable healthcare data.

Level: Beginner
Duration: 6h
Educators: Anđela Marjanović, Katarina Simanić, Martin Rigler
Language: English

Made for anyone working with clinical data

No prior openEHR experience needed. The path starts from the basics and builds up

Healthcare IT professionals

You implement or manage health information systems and need to understand how openEHR structures clinical data, so you can make better architecture decisions.

Clinical informaticists

You know the clinical side and want to turn clinical concepts into structured, computable models that developers can actually build with.

Developers and analysts

You build health apps or query clinical data, and need to understand how archetypes and templates shape the data you work with.

What will you learn?

Explain how openEHR and FHIR serve different roles and where they overlap.
Build a clinical template from scratch in Archetype Designer, based on a real clinical scenario.
Model clinical workflows using instruction and action entries, the Instruction State Machine, and careflow steps.

Find and evaluate existing archetypes and templates in the Clinical Knowledge Manager.
Constrain archetypes, apply terminology bindings, and validate models against clinical requirements.
Apply SNOMED CT coding to openEHR templates for real project use.

Learning path contents

Learn for free. Get certified when you're ready.

The full learning path is free and always will be. Certification is for those who want to prove it.

Learn

FREE ACCESS

Free

All four courses, full access
Video lessons, walkthroughs, and exercises
Self-paced, no time limit
Hands-on modelling with real clinical scenarios

Get certified

CERTIFICATION + EXPERT REVIEW

500€

Clinical data modeller certificate
Assessment covering all four courses
Shareable credential for LinkedIn
1-on-1 consultation with a clinical data modeller

Prove you can model clinical data in practice, not just that you watched the videos.