Archetypes

Current Projects

create Instance

Generating Graphical User Interfaces from Archetypes automatically

ADL Parser

Archetypen Software-Tools aus technischer Sicht

apply parser and do statistics: count histories, depth of archetype etc.

Jonathan Moosheer

CEN 13606 and Archetype compliant publishing of EHR extracts

This work describes an implementation of a proof-of-concept layer to export medical data from a health information system in a CEN prEN 13606 compliant format. The resulting EHR extracts are deposited in a local repository. The export-layer is based on Oracle® PL/SQL and the PL/SQL DOM API. EHR extracts are described by means of two XML Schemas and are transformed into Archetype compliant EHR extracts using XSLT. The XSLT needed for the transformation can be created visually using the two XML Schemas. A method is presented that solves the “unique particle attribution” problem, which would otherwise preclude the description of an EHR extract by means of XML Schema.
http://www.meduniwien.ac.at/msi/mias/php/imcdb/generic_search/search.php?cfg_suche=publikation&cnt_autor=rinner&mlt_volltext=&big_jahr=&sml_jahr=&cfg_template=pub_txt

Important Links

Archetype Validation

http://www.hl7.org.au/Docs/2004-MEL/25th-PM/2004-MEL_Archetypes_AGoodchild.pdf

ADL parser ruby

http://openehr.jp/svn/ruby/

Archetype Repository

http://www.archetypes.com.au/

NHS Clinical Models Home

http://www.ehr.chime.ucl.ac.uk/display/nhsmodels/Home

Oceaninformatics ADL Workbench and WIKI with Template Designer, Archetype editor ect

http://www.openehr.org/projects/eiffel.html
https://wiki.oceaninformatics.com/confluence/display/TTL/Archetype+Editor+Releases

Swedisch Archetype Editor

http://www.imt.liu.se/mi/ehr/
Binding Archetypes to SNOMED CT. They use MoST, Snomed and UMLS
http://www.hiww.org/smcs2006/proceedings/12SundvallSMCS2006final.pdf

OpenEHR Archetype Editor

http://www.oceaninformatics.biz/archetype_editor/ArchetypeEditor_download.html

LinkEHR

Spanish Archetype project
http://www.linkehr.net/

CEN 13606 Mailinglist MIAS

Eigene Mailinglist für CEN 13606 Fragen.
http://www.freelists.org/webpage/cen13606

Important Literature

Towards Automatically Generating Graphical User Interfaces from openEHR Archetypes

http://www.ncbi.nlm.nih.gov/pubmed/17108529?dopt=Abstract
References to publications concerning automatic representation of medical data made in this publication:

  • [9] Knaup P, Garde S, Merzweiler A, Graf N, Schilling F, Weber R, Haux R. Towards shared patient

records: An architecture for using routine data for nationwide research. Int J Med Inform. 2005 Aug 19.

  • [10] Los RK, van Ginneken AM, van der Lei J. OpenSDE: a strategy for expressive and flexible structured

data entry. Int J Med Inform. 2005 Jul;74(6):481-90.

Generic screen representations for future proof systems—is it possible? Two-model approach to a generic GUI.

van der Linden H, Schuler T, Chen R, Talmon J. Medinfo. 2007;12(Pt 2):1122-6.
Semantic interoperability should not only cover system interpretation
of incoming information, but should be extended to
include screen representation. This article describes a twomodel
approach to generate a screen representation for archetype-
based information, which is inspired by the two-model
approach used by openEHR for their archetypes. It provides a
separation between software-related display knowledge and
domain-related display knowledge and is designed with reuse
of components in mind. This approach leads to a flexible GUI
that can adapt not only to information structures that are not
predefined within the receiving system and display them in a
meaningful way, but also to novel ways of displaying the information.
\\msi-mias.msi.meduniwien.ac.at\daten\projekte\ELGA\Literatur\Generic screen representations for future proof systems—is it possible Two-model approach to a generic GUI - Medinfo 2007.pdf

Archetypes: the PropeR way

The PropeR project studies the effect of Decision Support in an
Electronic Health Record system (EHR) on the quality of care.
One of the applications supports a multidisciplinary primary
care team rehabilitating stroke patients in their home environment.
This project required an EHR system that could handle information
of multiple disciplines and multiple, distributed data
sources. It should also be flexible enough to handle an entirely
different domain with only minor modifications. The resulting
EHR system is a distributed system based on international standards
and reusable components. It is generic in nature since all
references to the domain are stored in separate XML documents:
the clinical data are defined through a modified version of the
OpenEHR archetypes, described in XML and views on the data,
either for review or for data entry are also described in XML
documents. Currently, the system is being evaluated by a care
team using laptops with a wireless internet connection.
The use of standards greatly improves the quality and reusability
of the resulting software system, but they do not solve the issues
that surface during implementation, such as context and screen
representation.
\\msi-mias.msi.meduniwien.ac.at\daten\projekte\ELGA\Literatur\Archetypes - the PropeR way MEDINFO 2004.pdf

Framework for clinical data standardization based on archetypes

Maldonado JA, Moner D, Tomás D, Angulo C, Robles M, Fernández JT. Medinfo. 2007;12(Pt 1):454-8.
Standardization of data is a prerequisite to achieve semantic interoperability in any domain. This is even more important in the healthcare sector where the need for exchanging health related data among professional and institutions is not an exception but the rule. Currently, there are several international organizations working on the definition of electronic health record architectures, some of them based on a dual-model approach. We present both an archetype modeling framework and LinkEHR-ED, an archetype editor and mapping tool for transforming existing electronic healthcare data which do not conform to a particular electronic healthcare record architecture into compliant electronic health records extracts. In particular, archetypes in LinkEHR-ED are formal representations of clinical concepts built on a particular reference model but enriched with mapping information to data sources which define how to extract and transform existing data in order to generate standardized XML documents.
\\msi-mias.msi.meduniwien.ac.at\daten\projekte\ELGA\Literatur\Framework for Clinical Data Standardization Based on Archetypes - Medinfo 2007.pdf

Can openEHR Archetypes Empower Multi-Centre Clinical Research?

Garde S, Knaup P, Schuler T, Hovenga E. Stud Health Technol Inform. 2005;116:971-6.

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