使用临床决策支持系统决策日志数据进行决策发现,以支持护士的决策过程.
Matthijs Berkhout1, Koen Smit2, Johan Versendaal2,3
1Digital Ethics, HU University of Applied Sciences Utrecht, Heidelberglaan 15, Utrecht, 3584 CS, The Netherlands. Matthijs.berkhout@hu.nl.
BMC medical informatics and decision making
|April 18, 2024
概括
这项研究开发了一个算法,从记录的数据中发现和可视化医疗保健决策. 这有助于改善临床决策和评估医疗保健协议.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 决策科学 决策科学 决策科学
- 数据挖掘 数据挖掘
背景情况:
- 医疗保健的决策是复杂的,特别是在高度信息化的环境中,如急诊,瘤和精神病学部门.
- 医疗保健决策中的现有挑战需要新的数据分析方法和流程改进方法.
研究的目的:
- 在医院环境中从记录的数据中发现和可视化临床决策.
- 加强医疗保健专业人员的决策过程.
- 支持定期评估已建立的医疗保健协议和指南.
主要方法:
- 采用设计科学研究方法 (DSRM) 来创建一个决策发现和可视化文物 (算法).
- 开发了一个模糊的分类算法,专门用于从决策日志中提取决策.
- 使用真实的合成数据集验证算法,涵盖设计,开发,演示和评估阶段.
主要成果:
- 成功设计和模拟了一种算法,能够从记录的数据中发现和可视化决策.
- 模糊分类器算法有效地识别了日志中的决策.
- 视觉化是按照决策模型和标记 (DMN) 标准生成的.
结论:
- 证明了可以有效地从决策日志中提取决策.
- 开发的可视化方法支持医疗保健专业人员改善决策.
- 该方法为评估和完善医疗保健协议和指南提供了有价值的工具.
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