文章基本信息

标题：Visualization and Analysis of Variants in Catheter Ablation's Clinical Pathways from Electronic Medical Record Logs
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作者：Muneo Kushima ; Yuichi Honda ; Hieu Hanh Le 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2233&2234
页码：271-275
出版社：Newswood and International Association of Engineers
摘要：In this research, common parts of frequent sequences were detected from medical instructions for catheter ablation described in the clinical pathways of University of Miyazaki Hospital, deformed patterns (variants) of medical instructions were detected and graphical representation was performed. Next, we created a visualization tool by Web application with high visibility compared with output result by character string. As a result of experiments, it became possible to grasp the correspondence between typical clinical paths in catheter ablation surgery. Moreover, in order to improve visibility compared to conventional character string output, a visualization tool was created and data obtained by experiment was displayed. However, confirmation of the visualization effect of clinical path variant from a medical point of view is still to be done, and at the present time the visualization method is in the stage of functioning.
关键词：Sequential Pattern Mining; Electronic Medical Records; Clinical pathways Variant; Visualization of Clinical Pathways; Catheter Ablation;