【作者】 黄慧萌；

【导师】 王备战；

【作者基本信息】 厦门大学 ， 软件工程， 2008， 硕士

【摘要】 随着计算机技术的进步,医院信息化程度的不断深入,各个医院都建立了自己的医院信息系统并积累了大量的医疗数据资源。若能从这些大量的医疗数据资源中挖掘出有用的信息辅助决策、辅助诊断,则可满足医院管理决策的需要、从而提高医疗质量,创造经济效益,并使医院和患者达到双赢的目标。本课题的研究目标是在这些庞大的医疗数据资源建立起来的数据仓库上使用先进的数据挖掘技术,改变传统信息服务模式,设计一个商务智能化的医院主动信息服务系统,为医院信息系统提出主动服务的新应用模式和平台并找到行之有效的解决方案。本文通过对数据仓库技术、数据挖掘中关联规则技术的研究和应用,提出一种商务智能的医院主动服务系统模式,并结合医院信息系统对其实现进行了探索。该系统是一套智能化系统,主动服务系统功能将渗透到医院管理决策支持、临床医疗技术支持、设备物质管理、财务业务管理、病人咨询服务等临床医疗活动各个方面,并包含:医院质量管理、医院经营目标管理、经营决策管理、医院资源管理、财务管理和预警系统六个功能模块,各个模块中的功能会在调研中继续加以完善。论文的主要贡献表现在以下几个方面:1、分析医院主动服务需求,并结合医院信息系统的实际数据,研究和确定可行的且有价值的挖掘主题并针对主题采集数据,建立医疗数据仓库。2、根据实际挖掘应用选择相应适合的挖掘算法,深入研究关联规则挖掘技术并展示挖掘结果对医院管理和医疗决策带来的支持和帮助。3、利用网络、移动服务等各种手段,建立医疗预警系统。更多还原

【Abstract】 With the development in computer technology, hospital information data more to deepen, many hospitals have set up their own hospital information system and accumulated a large amount of data resources. The useful information be excavated from these large amount of data resources, it can support doctor diagnosis of the disease and help hospital’s requirement of management. So as to improve the quality of treatment, to create economic benefits and let hospital and sick all can get what there want to have.The subject of this research is to use advanced data mining technology base on, change the traditional mode of information service, to design a intelligent business initiative of the hospital information system.This article through the data warehouse technology, mining association rules technology of data mining, decision tree mining technology to depth study, according to the development and trends of China’s medical and health sector and information technology, combination the characteristics of hospital clinical activities, it to bring a system model in business Intelligence of hospital. It to combine hospital information system and to search for whether could let it realize. The system is a set of intelligent system, active service capability would to infiltrate in various aspects of hospital clinical activities, for example decision Support management, clinical Support, material management, financial management and patients advisory services and so on. It includes hospital quality management, hospital operation objectives management, operating decision-making management, hospital resources management, financial Management and early warning system. I will continue to improve research of each module. The main contributions in this thesis are as follows:1) Analysis of the demand for hospital services initiative and set up medical data warehouse system combined with real data of hospital information systems and collecting data through researching and identifing viable and valuable mining theme .2) In-depth study of association rule and techniques of mining according to the appropriate application of the actual excavation for the mining algorithm, and value the impact to hospital management and medical decision-making brought about by data mining.3) Establish medical warning system by the Internet, mobile services and other kind of means.更多还原