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醫(yī)療過程挖掘的研究進(jìn)展

Research progress onprocess mining in healthcare

作者: 徐海峰  李絨  張陽  趙東升  
單位:軍事醫(yī)學(xué)研究院科研保障中心(北京&nbsp;100850) <p>新疆軍區(qū)總醫(yī)院信息科(烏魯木齊&nbsp;830000)</p> <p>解放軍總醫(yī)院第二醫(yī)學(xué)中心健康醫(yī)學(xué)科(北京&nbsp;100853)</p> <p>通信作者:趙東升,研究員。E-mail: [email protected]</p> <p>&nbsp;</p>
關(guān)鍵詞: 過程挖掘;數(shù)據(jù)分析;醫(yī)療保健;模型發(fā)現(xiàn);合規(guī)性檢查  
分類號:R318; R195.4 <p>&nbsp;</p>
出版年·卷·期(頁碼):2022·41·2(194-201)
摘要:

過程挖掘?yàn)槎床旌透倪M(jìn)醫(yī)療業(yè)務(wù)過程提供了一種新的方式,它能夠從實(shí)際臨床活動產(chǎn)生的事件日志中發(fā)掘出過程模型,并通過對比事件數(shù)據(jù)和臨床指南,實(shí)現(xiàn)合規(guī)性檢查、延遲預(yù)測,輔助決策支持及過程改進(jìn)等。本文介紹了醫(yī)療過程挖掘的技術(shù)框架,并從任務(wù)類型、模型表示方法和研究維度等方面,梳理總結(jié)這一研究領(lǐng)域的進(jìn)展情況,比較不同挖掘方法的優(yōu)缺點(diǎn),指出目前研究存在的主要問題和可能的改進(jìn)措施,為提高醫(yī)療大數(shù)據(jù)的分析利用水平提供參考借鑒。

 

Process mining provides a new way for insight and improvement of medical business process. It can be used to discover the process model from event logs generated by actual clinical activities. Furthermore, based on comparing the event data and clinical guidelines, it can achieve compliance checking, delay prediction, assistant decision support and process improvement. This paper introduces the technical framework of process mining, and summarizes the task types, model representation methods and research dimensions in this research field. Besides, the advantages and disadvantages of different methods are compared, and the main problems and possible improvement measures are pointed out, so as to provide reference for improving the analysis and utilization level of medical big data.

 

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