医院绩效管理中数据统计管理系统的应用
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摘要
为了有效提升医院绩效数据管理水平,需要对数据统计管理系统进行完善。但是采用当前应用的医院绩效管理数据统计管理系统,存在着系统响应时间过长、利用率较低、数据准确度较低的问题。为了解决这些问题,设计了一种基于自适应权重聚类的医院绩效数据统计管理系统,采用MongoDB作为医院绩效数据存储工具,将客户端连接3台应用服务器,建立医院绩效实际数据存储、配置文件存储和路由存储三个集群部署模式,将数据利用医院系统进行数据采集,通过解析、映射、标准化等方法进行处理,将处理后的医院绩效数据进行存储,引入Ward方法借助Matlab进行医院绩效数据聚类。实验结果表明,本设计方案能够有效实现医院绩效管理数据统计,具有较高的数据准确度和系统利用率,有效的提高了系统的响应时间。
In order to effectively improve the level of hospital performance data management, the data statistics management system needs to be improved. However, the current application of the hospital performance management data statistical management system has the problems of long system response time, low utilization rate, and low data accuracy. In order to solve these problems, a kind of hospital performance data statistics management system based on adaptive weight clustering was proposed. MongoDB was used as a hospital performance data storage tool to connect clients to three application servers and establish the actual data storage and configuration of hospital performance. File storage and route storage Three cluster deployment models, collecting all hospital performance data through the hospital system integration platform, processing through data analysis, mapping, and standardization, and storing the processed hospital performance data, introducing the Ward method Using Matlab to cluster hospital performance data. The experimental results show that this design scheme can effectively achieve the hospital performance management data statistics, has a higher data accuracy, and system utilization, and effectively improve the system response time.
In order to effectively improve the level of hospital performance data management, the data statistics management system needs to be improved. However, the current application of the hospital performance management data statistical management system has the problems of long system response time, low utilization rate, and low data accuracy. In order to solve these problems, a kind of hospital performance data statistics management system based on adaptive weight clustering was proposed. MongoDB was used as a hospital performance data storage tool to connect clients to three application servers and establish the actual data storage and configuration of hospital performance. File storage and route storage Three cluster deployment models, collecting all hospital performance data through the hospital system integration platform, processing through data analysis, mapping, and standardization, and storing the processed hospital performance data, introducing the Ward method Using Matlab to cluster hospital performance data. The experimental results show that this design scheme can effectively achieve the hospital performance management data statistics, has a higher data accuracy, and system utilization, and effectively improve the system response time.
引文
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[10] 范敏, 刘军. 基于Web网络大数据分类系统的设计与实现[J]. 电子设计工程, 2018, 26(08):106-109.
[2] 杨莉, 邓敏, 肖增敏. 公立医院绩效资料的多层级可拓评价分析[J]. 中国卫生统计, 2017, 34(5):818-821.
[3] 张凡, 孙树学, 兰茜,等. 基于岗位管理的绩效考核在医院职能部门的应用[J]. 中国医院管理, 2016, 36(2):53-54.
[4] 魏敏吉, 单爱莲, 张朴. 符合法规要求的药代动力学数据管理和统计计算方法[J]. 中国临床药理学杂志, 2017, 33(13):1248-1250.
[5] 黄昊, 张然, 张阳,等. 两系统数据整合在临床路径数据统计的实践[J]. 中国病案, 2016, 17(10):55-58.
[6] 冯雷, 吴大军. 航天器AIT未遂事件管理系统设计及数据分析[J]. 中国安全生产科学技术, 2017, 13(8):102-107.
[7] 邹静, 童荣生, 曾代文,等. 临床试验伦理委员会数据管理系统的开发与应用[J]. 中国临床药理学杂志, 2017, 33(5):470-473.
[8] 高万里, 张丽. 基于结构方程建模的高校教学管理数据统计系统的研究[J]. 现代电子技术, 2017, 40(16):57-59.
[9] 王润. 医院信息化建设下数据统计的新模式[J]. 中国病案, 2017, 18(10):43-45.
[10] 范敏, 刘军. 基于Web网络大数据分类系统的设计与实现[J]. 电子设计工程, 2018, 26(08):106-109.