Building a normative decision support system for clinical and operational risk management in hemodialysis
Building a normative decision support system for clinical and operational risk management in hemodialysis
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DOI：
10.1109/titb.2008.920781
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发表时间：
2008-09-01
影响因子：
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通讯作者：
Bellazzi, Riccardo
中科院分区：
文献类型：
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作者：
Cornalba, Chiara;Bellazzi, Roberto G.;Bellazzi, Riccardo
本文介绍了一个血液透析（HD）科室风险管理决策支持系统的设计与实现。该系统利用领域本体的形式化问题的贝叶斯网络。它还依赖于能够自动收集HD数据的软件工具来学习网络条件概率。通过合并先验知识和可用数据，该系统允许估计患者和HD部门的风险状况。风险管理过程由影响图完成，该影响图使情景分析能够选择减轻患者风险的最佳决策。详细描述了决策支持工具的设计方法，并给出了决策模型。还显示了示例和案例研究。该工具是明确设计用于管理医疗保健环境中的操作和临床风险的规范系统的少数例子之一。
This paper describes the design and implementation of a decision support system for risk management in hemodialysis (HD) departments. The proposed system exploits a domain ontology to formalize the problem as a Bayesian network. It also relies on a software tool, able to automatically collect HD data, to learn the network conditional probabilities. By merging prior knowledge and the available data, the system allows to estimate risk profiles both for patients and HD departments. The risk management process is completed by an influence diagram that enables scenario analysis to choose the optimal decisions that mitigate a patient's risk. The methods and design of the decision support tool are described in detail, and the derived decision model is presented. Examples and case studies are also shown. The tool is one of the few examples of normative system explicitly conceived to manage operational and clinical risks in health care environments.