Kohl Christian D, Garde Sebastian, Knaup Petra
Department of Medical Informatics, University of Heidelberg, Heidelberg, Germany.
Stud Health Technol Inform. 2010;160(Pt 2):1117-21.
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.
临床试验对医学进步至关重要。尽管电子病历(EPR)中可用的临床数据越来越多,且越来越多的试验采用电子数据采集(EDC)系统,但仍存在差距,这使得EPR/EDC的互操作性变得困难,并阻碍了医疗常规数据的二次利用。电子健康记录的openEHR架构基于两级建模方法,该方法利用了“原型”。我们希望通过构建一个基于openEHR原型的集成EPR/EDC系统,分析原型是否有助于弥合这一差距。我们使用了“openEHR参考框架和应用程序”(Opereffa)以及现有的医学数据原型。此外,我们还开发了专门的原型来记录研究元数据。我们开发了基于原型的集成EPR/EDC系统的首个原型实现。下一步将是在真实的临床试验场景中评估扩展后的原型。Opereffa是我们工作的一个良好起点。事实证明,openEHR原型对健康数据的二次利用很有用。