临床途径数据分析的整体方法
Hanno Erwee1, Anton H Basson1, Karel Kruger1
1Department of Mechanical and Mechatronic Engineering, Stellenbosch University, Stellenbosch, South Africa.
Computers in biology and medicine
|August 29, 2024
概括
一种新的整体方法和临床途径数字双胞胎改善了医疗保健数据分析. 该系统通过有效管理复杂的患者途径信息,增强专业人员的决策能力.
科学领域:
- 医疗信息学 医疗信息学
- 在医疗保健中的数据科学.
- 软件工程用于医疗保健
背景情况:
- 工业4.0产生了大量的医疗保健数据,这给有效利用和解释带来了挑战.
- 复杂的医疗环境加剧了管理和分析大型数据集的困难.
- 当前的数据分析方法很难跟上医疗保健信息的数量和复杂性.
研究的目的:
- 为临床途径数据分析提出和实施一种全方位的新方法.
- 开发一种临床途径数字双胞胎,用于摄入,结构化和分析途径信息.
- 通过增强数据洞察力,支持医疗保健专业人员进行知情决策.
主要方法:
- 文献审查和现实世界观察确定了临床途径分析需求和设计要求.
- 使用基于ARTI参考架构的全方位方法实现了一个概念验证的临床途径分析数字双胞胎.
- 使用关节和膝关节置换途径案例研究来评估全息方法,包括统计分析和机器学习预测.
主要成果:
- 整体方法使信息的直观聚合/分解以及适合环境的分析功能成为可能.
- 证实了数据完整性检查和数据异常处理的改进.
- 实现了按需报告生成,减少了医疗保健专业人员的手工任务.
结论:
- 整体数据分析方法提供了针对特定临床途径活动量身定制的丰富背景分析.
- 有效地定制数据摄入和分析,支持提取有价值的见解.
- 医疗保健专业人员可以利用这种方法来改善临床途径管理中的决策.
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