一个基于本体学的工具,用于建模和记录神经外科手术中的事件
Patricia Romao1, Stefanie Neuenschwander1, Chantal Zbinden2
1Bern University of Applied Sciences, Bern, Switzerland.
BMC medical informatics and decision making
|July 31, 2024
概括
这项研究开发了一种基于本体学的工具,以改善手术内神经生理监测 (IOM) 文档. 该工具提高了数据质量,有助于临床决策和神经外科研究.
科学领域:
- 生物医学信息学 生物医学信息学
- 神经外科 神经外科
- 本体学 工程学 工程学
背景情况:
- 术内神经生理监测 (IOM) 对于神经外科手术中的患者安全至关重要.
- 对IOM事件的有效记录是具有挑战性的.
- 一个基于本体学的工具被开发来解决这个文档缺口.
研究的目的:
- 开发和评估基于本体学的工具,用于IOM事件的语义丰富文档.
- 提高国际移民组织数据的质量和标准化.
- 促进更好的临床决策和神经外科的研究.
主要方法:
- 按照开放生物和生物医学本体学 (OBO) 原则进行本体学发展.
- 敏捷软件开发用于工具原型设计.
- 在现实世界的文档设置中进行实践评估.
主要成果:
- 国际移民组织的文档本体学 (IOMDO) 整合了FMA,HPO和OntoSPM的概念.
- 使用JavaFX和Apache Jena.开发了一个用户友好的软件工具.
- 测试用户发现该工具是可访问和可用的.
结论:
- 这种基于本体学的工具提高了IOM文档的质量和标准化.
- 语义上丰富的数据支持知情决策和研究.
- 在不良事件本体学中解决建模问题是优化关键.
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