openEHR Fundamentals Course

Get started with openEHR fundamentals! Our course teaches the basics and helps you gain practical skills to create real healthcare apps.

Learn why openEHR was created and how it enables healthcare data management through flexible, standardized systems.

Discover how openEHR enables true interoperability with the two-level modelling paradigm. This lesson introduces archetypes and templates.

Explore the Clinical Knowledge Manager (CKM), openEHR’s global library of archetypes for designing clinical templates.

Learn how to build your first openEHR template using Archetype Designer for practical and accurate clinical data capture.

Apply concepts you've learnt so far, and try creating a template yourself.

Join the official openEHR Discourse forum, a welcoming space to connect, ask questions and learn directly from experts and peers.

Explore Catalonia's pioneering open digital health platform in this interview with Jordi Piera, Director of Digital Health Strategy at Catalan Health Service.

Learn how openEHR evolved from a research idea to a global standard for healthcare, featuring insights from Prof. David Ingram and Rachel Dunscombe.

Learn to search for artefacts from the Clinical Knowledge Manager, evaluate and download them for use.

The Reference Model (RM) is how openEHR enables interoperability. Let's look at what RM classes are and how they form the scaffolding for openEHR.

With an 'Initial Patient Assessment' scenario, dive into clinical modelling and archetype selection.

Next we model family history, smoking and alcohol consumption patterns.

Learn to model vital signs, and add sections to visually organize the template.

Next, model the clinician recording a working diagnosis and ordering services like lab tests or medication.

In the final section of the initial patient scenario, we'll add a section to capture a complete encounter synopsis.

In this short exercise, apply the concepts learnt so far and identify archetypes to represent a clinical scenario.

Review the solution to the exercise from the previous lesson to evaluate your understanding.

Hanna Pohjonen, co-chair, openEHR Education Program, shares how the Nordics lead openEHR adoption through a culture of collaboration.

Recap the three core openEHR ideas we will use in this module, templates, compositions and EHRs.

Set up a local openEHR server using EHRbase and Docker to start testing the openEHR REST API.

Set up Postman to connect to your local EHRbase server and upload your first openEHR template (OPT) using the Template API.

Create and retrieve an EHR on the EHRbase server. We will use this EHR to store patient data.

Generate an example composition, understand formats, create your first composition and retrieve it using the composition UID.

Update compositions, retrieve older versions and delete compositions in openEHR.

Here's a hands-on exercise to help you practice REST concepts.

Learn openEHR AQL basics in EHRbase: query all compositions, select specific fields with AQL paths, and filter by RM type and archetype ID.

Create a template, upload its OPT to EHRbase, generate a FLAT JSON composition, and query results with openEHR AQL.

Learn openEHR AQL filters: query compositions by template_id with WHERE, and by patient EHR using EHR CONTAINS COMPOSITION.

Make openEHR AQL reusable with query parameters.

Store versioned queries on the server and execute them later using parameters without rewriting AQL.

Wrapping up the openEHR Fundamentals course and explore the free first module of the openEHR Bootcamp.