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Updated: Jun 14, 2025

Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

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Published on: May 7, 2021

在数据集成中心开发SNOMEDCT绘图过程和工具 - - 经验教训

Andrea Riedel¹, Noemi Deppenwiese¹, Lucas Thiele¹

¹Medical Centre for Information and Communication Technology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.

Studies in health technology and informatics

|September 5, 2024

概括

德国医院现在可以使用新的过程和工具来绘制非数字实验室结果. 这增强了研究和联盟间数据交换的数据协调,改善了诊断程序.

关键词:

临床实验室信息系统数据策划数据策划健康信息的互操作性互操作性医学的系统化命名法.术语作为一个主题

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科学领域:

医疗信息学医疗信息学
健康数据管理管理健康数据

背景情况:

埃兰根大学医院每天管理1600万个德语语言的自由文本实验室结果.
当地数据集成中心为研究人员提供常规护理数据的访问提供了便利.
国际标准如FHIR和SNOMED CT用于数据协调.

研究的目的:

开发一个地图和工具来表示非数值实验室测试结果.
为满足对n:n地图和符合数据安全的本地实例的需求.
为医学研究创建统一的数据.

主要方法:

开发了一个带有代周期的增量映射验证过程.
使用Microsoft Access创建了一个自定义映射工具.
在开发中优先考虑时间,劳动力和成本效益.

主要成果:

成功实现了映射过程和定制工具.
确定了诸如通过初始代实现多个用户访问等要求.
开发了一个用于流程指导的作弊表.

结论:

实施的过程和工具可以帮助其他德国医院.
促进当地地图的创建,用于联盟间的数据交换和研究.
未来的出版物将介绍定性和定量分析结果.