使用因果贝叶斯网络作为医疗管理工具的反事实推理
Evangelia Kyrimi1, Somayyeh Mossadegh2, Jared M Wohlgemut3
1Department of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom. Electronic address: https://twitter.com/LinaKyrimi.
医疗治理使用因果贝叶斯网络 (CBN) 的反事实推理来审查临床决策. 这种方法有助于通过评估替代治疗策略及其结果来确定潜在的改善.
科学领域:
- 医疗保健质量保证的质量保证
- 临床决策分析 临床决策分析
- 因果推理的原因推理.
背景情况:
- 医疗治理 (HG) 通过审查临床实践结果来确保质量.
- 后结果分析需要反事实推理来评估替代决策.
- 因果模型可以通过解释事件生成来支持反事实推理.
研究的目的:
- 用因果贝叶斯网络 (CBN) 作为医疗管理工具来证明反事实推理.
- 评估假设的治疗选择及其潜在的结果.
主要方法:
- 在CBN中扩展反事实推理以审查不同护理阶段的决策.
- 在HG的特定临床背景下应用反事实推理.
- 利用来自国防医疗服务 (DMS) 死亡率和发病率 (M&M) 审查的现实实例.
主要成果:
- 展示了CBN中对DMSM&M审查会议的反事实推理的应用.
- 用三个现实的案例示例证明了拟议方法的实用性.
结论:
- 决策后评估为改善临床实践带来了宝贵的教训.
- 死亡率和发病率审查会议适合反事实推理应用.
- 帮助评估反事实概率的临床决策支持工具将是有益的.
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