通过识别常见数据元素从医疗保健文件中提取可互操作数据:放射治疗计划CT医生订单入口记录的分析CT医生订单入口记录
Fabio Dennstädt1, Paul Martin Putora1,2, Michael Heuser3
1Institute of Radiation-Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
Oncology
|September 20, 2023
概括
辐射瘤学数据的标准化对于互操作性至关重要. 然而,对计划CT订单输入的分析显示了显著的异质性,在各机构之间共享的数据元素很少,突出了需要统一的词汇.
科学领域:
- 医疗信息学 医疗信息学
- 辐射瘤学 辐射瘤学
背景情况:
- 基于IT的医疗数据管理在现代医疗保健中越来越重要.
- 辐射瘤学是一个数据密集型领域,它将从数据标准化和交换中受益.
研究的目的:
- 评估不同机构在放射性瘤学方面的相关信息交换程度.
- 评估从电子医疗保健文件中提取结构化信息的潜力.
主要方法:
- 联系了九个放射性瘤科,使用标准化的电子文件来规划CT.
- 分析了规划CT订单输入文件的模板,以形式和内容进行分析.
- 识别和分类明确的共同数据元素,用于数据交换的定量分析.
主要成果:
- 收到七份不同形式和内容的文件.
- 确定了用于规划CT的181个相关的常见数据元素,分为五个语义组.
- 发现76.8%的数据元素是单一文档独有的;没有一个在所有七个文档中共享.
结论:
- 通过共同的数据元素,可以实现结构化和可互操作的医疗文档.
- 在当前规划CT订单条目中存在显著的异质性,限制了数据交换.
- 关于相关信息的共同词汇和共识对于促进辐射瘤学的互操作性和标准化至关重要.
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