Clinical Pathway Generation from Order Histories and Discharge Summaries
Clinical Pathway Generation from Order Histories and Discharge Summaries
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根据医嘱历史和出院总结生成临床路径
DOI：
10.1109/icdmw.2019.00056
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Haruko Iwata and Shoji Hirano
中科院分区：
文献类型：
--
作者：
Shusaku Tsumoto;Tomohiro Kimura;Haruko Iwata and Shoji Hirano
本文提出了利用医院信息系统中保存的护理医嘱历史和出院摘要构建临床流程计划。首先，通过混合模型聚类，从具有相同诊断程序组合码（DPC）的临床病例中提取子分组；亚群给出了不同类型的疾病，并具有不同的时间演化。然后，通过对出院摘要的分析，构建各子组的分类模型，捕捉各子组的含义；最后，使用分类模型对病例进行分类，并为每个新的子组生成临床路径。在医院信息系统提取的数据集上对该方法进行了评估，结果表明，与之前引入的方法相比，该方法获得了合理的临床路径。
This paper proposes construction of clinical process plan from nursing order histories and discharge summaries stored in hospital information system. First, the system extracts sub-grouping from clinical cases with the same Diagnostic Procedure Combination code (DPC) by mixture model clustering. Subgroups give different types of diseases with different temporal evolution. Then, classification models of each subgroup are constructed by the analysis of discharge summaries to capture the meaning of each subgroup. Finally, cases are classified by using the classification model and a clinical pathway is generated for each new subgroup. The proposed method was evaluated on the data sets extracted hospital information system, whose results show that plausible clinical pathways were obtained, compared with previously introduced methods.