一种基于本体学的方法,以了解尾切除过程和相关资源
Nadeesha Pathiraja Rathnayaka Hitige1,2, Ting Song2, Steven J Craig3,4
1Department of Information and Communication Technology, Faculty of Technology, Rajarata University of Sri Lanka, Mihintale 50300, Sri Lanka.
Healthcare (Basel, Switzerland)
|January 10, 2025
概括
本研究介绍了尾切除术的本体学,一个详细介绍手术过程和资源链接的计算模型. 这提高了临床决策,并优化了尾切除手术的医疗保健服务.
科学领域:
- 医疗信息学 医疗信息学
- 本体学 工程学 工程学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 对外科手术过程的传统分析缺乏对资源相互依存性的全面理解.
- 现有的方法无法捕捉临床程序,执行序列和医院资源之间的复杂联系.
研究的目的:
- 开发一个用于尾切除 (尾的手术切除) 的计算本体学.
- 创建一个代表尾切除过程及其资源依赖性的模型.
- 支持知情决策和优化尾切除手术的医疗保健服务.
主要方法:
- 开发使用NeON方法的本体学.
- 从现有的本体学,学术文献和非识别的医院患者数据中获取知识.
主要成果:
- 一个包含108个类 (11个顶级) 和77个属性的综合本体学.
- 在语义上,本体学代表了尾切除手术程序和相关资源.
- 包括程序,协议,疾病,时间,结果,基础设施,人员和患者人口统计学的类.
结论:
- 本体论为尾切除知识提供了一个可计算的框架.
- 建立了改善临床决策和数据集成的基础.
- 为优化尾切除手术医疗保健工作流程和患者结果提供了潜力.
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