INTRODUCTION TO OPENEHR CLINICAL MODELING

8

parts

€ 795,-

excl. btw

All

Skill Level

16 hrs

Duration

English

Language

Welcome to the Introduction to openEHR Clinical Modelling
Course!

This course has been created in co-operation between Rosaldo
Oy and freshEHR Clinical Informatics Ltd. Dr lan McNicoll, Heidi
Koikkalainen and David Jobling from freshEHR have been
responsible for preparing the Course materials and are also
acting as the facilitators on this course. lan is the Director of
freshEHR and has been working in health informatics for over
30 years. Heidi and David have been working as openEHR
clinical modellers since the beginning of 2020.

You can also receive a certificate for completion of the Course.

Overview

The Course will familiarize you with the openEHR clinical modelling approach and the key tools used to develop openEHR data models. It will introduce the core concepts behind the openEHR approach and provide an overview of the modelling process. During the Course you will learn how to get started with v’s the key tools and work with openEHR data models. Furthermore, the course will give an overview of the openEHR governance principles and describe how openERHR fits together with other standards and components in health information system infrastructures.Aftercompleting the Course you will have gained an understanding of the openEHR clinical modelling concepts, know how to start using the tools and understand the overall clinical modelling process using openEHR principles.

Learning Path

The content of the Course and the facilitator are introduced in this part, You will also find general instructions regarding navigation and active participation in the Claned eLearning environment.

In this part you will learn about the concept of clinical
modelling and why it is important to developers of health
information systems. Some traditional approaches to clinical
modelling are discussed and examples given. We then
introduce the openEHR multi-level modelling approach and
discuss the problems it was designed to solve.

This part consists of the following modules:

Traditional clinical modelling approaches

There have been many approaches to clinical modelling in the
past. In this module, we describe some common approaches
and discuss the challenges involved.

The openEHR approach

openEHR aims to overcome common challenges in clinical
modelling by introducing the idea of multi-level modelling. In
this module, you will learn about the main ideas behind the
openEHR approach and how it differs from other clinical
modelling approaches. We explain the benefits of the
openEHR approach and its impacts on the different
professionals developing health information systems.

In this part you will learn about the core concepts behind the
openEHR modelling approach – the Reference Model,
archetypes and templates. We explain the openEHR health
record structure and give an overview of the underlying
Reference Model that defines the data types and structures
used in openEHR data models, called archetypes. You will
learn about the different archetype classes and how templates
are built by aggregating and constraining archetypes. Finally.
we explain the role of clinical terminologies and how they fit
together with archetypes and templates.

This part consists of the following modules:

openEHR health records

In this module, we explain the generic structure of openEHR
health records and how it makes data querying easier.

Introduction to the Reference Model

This module provides an overview of the Reference Model
(RM), which defines the basic data structures and types used in
openEHR data models. You will gain an understanding of what
the RM is and how it is used to create archetypes and
templates.

Introduction to archetypes

Archetypes are the main building blocks in openEHR. They are
reusable clinical information models representing discrete
clinical concepts and developed by the openEHR clinical
community. In this module you will learn about different
archetype classes and commonly used data types and gain an
understanding of the main principles of archetype
development.

Introduction to template

This module provides an overview of openEHR templates and
how they are built by aggregating archetypes and adjusted to
fit specific data sets and use cases.

Introduction to terminology

In this module, we discuss clinical terminologies and explain
how they can be used alongside archetypes and templates in
the openEHR modelling framework.

In this part you will learn about the tools that openEHR clinical
modellers commonly use. We will give an overview of the types
of tools that are available and what they are used for. Two key
tools – the Clinical Knowledge Manager and Archetype
Designer – are introduced in more detail and their main
functionalities demonstrated. Through practical exercises, you
will learn how to sign up and get started with both tools.

This part consists of the following modules:

Introduction to Clinical Knowledge Manager

This module introduces the Clinical Knowledge Manager
(CKM), which is an online application for collaborative
development, management and publishing of openEHR
archetypes and templates. We give an overview of the tool and
demonstrate its main functionalities. Through a practical
exercise, you will be guided how to sign up as a user and how
to find archetypes on the CKM.

Introduction to Archetype Designer

This module introduces the Archetype Designer tool, which is
widely used by the openEHR clinical modelling community. We
will demonstrate how to sign up and get started with using the
tool. You will learn how to create a repository and mport an
archetype from the CKM in order to use it in a template.

This part provides a walkthrough of the end-to-end modelling process by demonstrating each step through a practical example. You will gain a high-level understanding of what the modelling process involves and how applications can be developed rapidly by utilising the openEHR approach.
In this part you will learn about the main principles for governing openEHR archetypes and templates. We describe different approaches that are being used by the openEHR community and discuss the advantages and challenges involved.
This part will provide an overview of the wider context in which openEHR is being used to build health information system infrastructures. We give examples of existing solutions and discuss how openEHR can be used alongside other international standards and system components to build modular and interoperable health information platforms.
This concludes the most important takeaways from the training. As mentioned, you can also get a certificate of completion!

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