Multilingual Medical Data Models in ODM Format
Multilingual Medical Data Models in ODM Format
复制标题
ODM 格式的多语言医疗数据模型
DOI：
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发表时间：
2012
影响因子：
2.9
通讯作者：
M. Dugas
中科院分区：
文献类型：
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作者：
B. Breil;J. Kenneweg;F. Fritz;P. Bruland;D. Doods;B. Trinczek;M. Dugas
摘要背景：常规医疗保健和临床研究之间的语义互操作性是一个未解决的问题，因为医疗保健领域的信息系统仍然使用专有的和特定于站点的数据模型。然而，如果医生和科学家想要收集和分析来自不同医院的数据，以便建立注册和执行多中心临床试验，信息交换和数据协调是必不可少的。因此，需要基于公共数据模型的标准化元数据交换。目前，这主要是由信息学专家而不是医学专家完成的。目的：我们建议使医生能够在标准化格式的基于Web的协作式医疗表格储存库中交换、评价、评论和讨论他们自己的医疗数据模型。方法：在全面需求分析的基础上，设计了一个基于Web的医学数据模型门户。在此上下文中，数据模型是没有任何布局信息的医疗表单的技术规范(属性、数据类型、值列表)。CDISC业务数据模型(ODM)被选为数据模型标准化表示的适当格式。该系统使用Ruby on rails实现，并应用了Web2.0技术来提供基于社区的解决方案。来自不同来源系统的表格--包括常规护理和临床研究--被转换为ODM格式并上传到门户网站。结果：实现了一个基于ODM文件的医学数据模型门户(http://www.medical-data-models.org).医生可以上传、评论、评级和下载医疗数据模型。以不同的观点(概述和详细介绍)和多种语言提供了250多份表格，约8000个项目。例如，该门户包含来自临床和研究信息系统的表单。结论：该门户为ODM格式的多语言数据模型提供了一个独立于系统的存储库，可供医生使用。它是一个讨论的平台，能够以标准化的方式交换多语言的医疗数据模型。
Summary Background: Semantic interoperability between routine healthcare and clinical research is an unsolved issue, as information systems in the healthcare domain still use proprietary and site-specific data models. However, information exchange and data harmonization are essential for physicians and scientists if they want to collect and analyze data from different hospitals in order to build up registries and perform multicenter clinical trials. Consequently, there is a need for a standardized metadata exchange based on common data models. Currently this is mainly done by informatics experts instead of medical experts. Objectives: We propose to enable physicians to exchange, rate, comment and discuss their own medical data models in a collaborative web-based repository of medical forms in a standardized format. Methods: Based on a comprehensive requirement analysis, a web-based portal for medical data models was specified. In this context, a data model is the technical specification (attributes, data types, value lists) of a medical form without any layout information. The CDISC Operational Data Model (ODM) was chosen as the appropriate format for the standardized representation of data models. The system was implemented with Ruby on Rails and applies web 2.0 technologies to provide a community based solution. Forms from different source systems – both routine care and clinical research – were converted into ODM format and uploaded into the portal. Results: A portal for medical data models based on ODM-files was implemented (http://www.medical-data-models.org). Physicians are able to upload, comment, rate and download medical data models. More than 250 forms with approximately 8000 items are provided in different views (overview and detailed presentation) and in multiple languages. For instance, the portal contains forms from clinical and research information systems. Conclusion: The portal provides a system-independent repository for multilingual data models in ODM format which can be used by physicians. It serves as a platform for discussion and enables the exchange of multilingual medical data models in a standardized way.