Literature DB >> 20841857

Facilitating secondary use of medical data by using openEHR archetypes.

Christian D Kohl1, Sebastian Garde, Petra Knaup.   

Abstract

Clinical trials are of high importance for medical progress. But even though more and more clinical data is available in electronic patient records (EPRs) and more and more electronic data capture (EDC) systems are used in trials, there is still a gap which makes EPR / EDC interoperability difficult and hampers secondary use of medical routine data. The openEHR architecture for Electronic Health Records is based on a two level modeling approach which makes use of 'archetypes'. We want to analyze whether archetypes can help to bridge this gap by building an integrated EPR / EDC system based on openEHR archetypes. We used the 'openEHR Reference Framework and Application' (Opereffa) and existing archetypes for medical data. Furthermore, we developed dedicated archetypes to document study meta data. We developed a first prototype implementation of an archetype based integrated EPR / EDC system. Next steps will be the evaluation of an extended prototype in a real clinical trial scenario. Opereffa was a good starting point for our work. OpenEHR archetypes proved useful for secondary use of health data.

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Year:  2010        PMID: 20841857

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  Multilingual Medical Data Models in ODM Format: A Novel Form-based Approach to Semantic Interoperability between Routine Healthcare and Clinical Research.

Authors:  B Breil; J Kenneweg; F Fritz; P Bruland; D Doods; B Trinczek; M Dugas
Journal:  Appl Clin Inform       Date:  2012-07-11       Impact factor: 2.342

2.  An exploratory study using an openEHR 2-level modeling approach to represent common data elements.

Authors:  Ching-Heng Lin; Yang-Cheng Fann; Der-Ming Liou
Journal:  J Am Med Inform Assoc       Date:  2016-01-23       Impact factor: 4.497

3.  A methodology for a minimum data set for rare diseases to support national centers of excellence for healthcare and research.

Authors:  Rémy Choquet; Meriem Maaroufi; Albane de Carrara; Claude Messiaen; Emmanuel Luigi; Paul Landais
Journal:  J Am Med Inform Assoc       Date:  2014-07-18       Impact factor: 4.497

  3 in total

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