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专为语义互操作性而设计的职业健康评估摘要
Evgeniy Krastev1, Dimitar Tcharaktchiev2, Petko Kovachev1
1Sofia University "St. Kliment Ohridski" (EFMI Institutional member), Faculty of Mathematics and Informatics, James Bourchier blvd, No. 5, Sofia 1164, Bulgaria.
本研究引入了标准化职业健康评估摘要 (OHAS) 数据集,以实现无的国际数据交换. 开发的模型确保了语义互操作性,这对于工人福利和跨境职业病预防至关重要.
科学领域:
- 职业健康 职业健康 职业健康
- 医疗信息学 医疗信息学
- 数据互操作性数据互操作性
背景情况:
- 增加全球流动性和就业市场流动性需要强大的职业健康数据管理.
- 现有的职业健康评估数据缺乏标准化,阻碍了互操作性和有效的疾病预防.
- 当前的文献不充分地解决了职业健康中的数据表示多样性问题.
研究的目的:
- 设计符合国际语义互操作性标准的工人职业健康评估摘要 (OHAS) 数据集.
- 促进欧盟成员国之间和原产国之间无交换OHAS数据.
- 在欧盟一级建立一个共同的OHAS标准,以改善跨境健康数据管理.
主要方法:
- 在OHAS交流中制定语义互操作性的系统方法.
- 探索使用UML序列图的用例.
- 为OHAS设计一个EN 13606原型,与欧盟国家立法数据要求保持一致.
- 使用现实的用例数据演示语义互操作性.
主要成果:
- 提出了一种新的系统方法,以确保OHAS交换中的语义互操作性.
- 为OHAS成功设计了一个EN 13606原型,满足语义互操作性要求.
- OHAS数据集结合了来自欧盟国家立法的共同数据要求.
- OHAS的语义互操作性通过现实的用例场景来验证.
结论:
- 开发的静态,非挥发性和可重复使用的OHAS信息模型可以创建有效的EN 13606原型实例.
- OHAS模型有助于软件的实施和集成到现有的信息系统中.
- 这种标准化提高了职业健康数据对预防和工人福祉的有用性.
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