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Drools规则引擎在医疗数据合规系统中的应用
引用本文:赵新,王火剑.Drools规则引擎在医疗数据合规系统中的应用[J].教育技术导刊,2019,18(7):163-166.
作者姓名:赵新  王火剑
作者单位:1. 北京锐安科技有限公司,北京 10092;2. 浙江省公安厅网安总队,浙江 杭州 310000
摘    要:目前实现医疗数据合规控费的监控系统大多采用传统命令式编码实现,其中将业务规则逻辑与业务系统进行捆绑。当业务规则逻辑或规则知识库发生变更时,则需要研发人员重新修改编码,且非研发人员无法灵活地进行规则编辑维护。为解决上述问题,引入Jboss的KIE可视化配置管理系统,业务专家可通过该系统自定义编辑规则文件,并引用Drools规则引擎对规则文件进行解析。因此,只需维护规则文件即可,而无需采用传统命令式编码实现业务规则,减少了系统开发与维护工作量。业务系统调用Drools规则引擎进行校验、解析规则文件,并与医疗数据进行匹配碰撞,从而实现了规则逻辑和业务系统解耦,避免了医疗政策变化对业务系统的影响,增强了系统适用性与灵活性。

关 键 词:Drools  规则引擎  可视化  医疗数据合规  
收稿时间:2018-11-25

Application of Drools Rule Engine in Medical Data Compliance System
ZHAO Xin,WANG Huo-jian.Application of Drools Rule Engine in Medical Data Compliance System[J].Introduction of Educational Technology,2019,18(7):163-166.
Authors:ZHAO Xin  WANG Huo-jian
Institution:1. Run Technologies CO., LTD.,Beijing 100096,China;2. Network Security Corps of Zhejiang Public Security Bureau, Hangzhou 310000,China
Abstract:At present, most of the monitoring systems for implementing medical data compliance control fees are implemented by traditional imperative coding, in which business rule logic and business system bundles are implemented.When the business rule logic or rule knowledge base changes, the R&D personnel need to re-edit the code implementation, and non-R&D personnel cannot flexibly perform rule editing and maintenance. In order to solve the above problems, JBoss' Drools rule engine and KIE visual configuration management system are cited. The business experts can visualize the custom editing rule logic and rule knowledge base, and develop the rule logic without hard coding, which reduces the development and maintenance of the system. The business system calls the Drools rule engine to check and parse the rules file, and the medical data is matched and collided, thereby realizing the decoupling of the rule logic and the business system, avoiding the influence of the medical policy change on the business system, and enhancing the applicability of the system and flexibility.
Keywords:Drools  rule engine  visualization  medical data compliance  
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