商业智能系统在医院合理用药中的应用研究

发布时间：2018-03-01 07:18

本文关键词： 商业智能数据仓库合理用药多维数据分析　出处：《天津大学》2016年硕士论文　论文类型：学位论文

【摘要】：随着数据仓库和数据挖掘技术的飞速发展,数据库技术已被运用医学行业的各个方面。近年来,80%以上的省级医院都相继建立了自己的医院信息系统(HIS),随着HIS的广泛应用及其功能的不断完善,HIS收集了大量的医疗数据。但是,目前的HIS都是面向于底层业务设计的,仅完成了现场数据的收集、查询和统计等信息的初级处理工作。商业智能是通过数据挖掘、数据仓库等技术手段对分散在不同系统的业务数据进行有效的整合,从大量的数据中提取有效信息,再将这些信息转换成知识,最后,利用这些知识进行商业决策。如何从业务数据中提取有效信息,再利用这些业务数据来做出正确的决策是商业智能研究的主要问题。在医疗水平不断提高的今天,合理用药仍然是医学工作者共同追求的目标。如何更加安全、更加有效、更加经济的使用药物,如何让患者花最少的钱,接受最好的治疗,遭受最小的药物副作用,依旧是医疗工作者们追求的重要目标之一。针对以上现状,本文将用药分析方法与商业智能结合,用于将分析深化到更细致的层级,实现精细化管理,实现数据到知识的转换。本文拟利用医疗单位现有的医生用药数据,挖掘出有价值的用药经验、准则及知识,并将这些用药信息构建用药知识库,再利用知识库对医生所开处方的用药安全性、临床适用性等方面进行审查,并根据知识库,对医生下处方工作进行指导和审查,及时对可能含有潜在问题的处方提出警告,以保证处方的正确性、安全性及适用性,并将医生用药数据进行整理、清洗、分析、挖掘,为医务工作者、临床管理人员、科研人员提供辅助决策与综合分析依据。
[Abstract]:With the rapid development of data warehouse and data mining technology, In recent years, more than 80% of provincial hospitals have established their own hospital information system (HIS). With the wide application of HIS and the continuous improvement of its functions, his has collected a large number of. Medical data. But, At present, HIS is all oriented to the underlying business design. It only completes the primary processing of data collection, query and statistics. Business intelligence is based on data mining. Data warehouse and other technical means to effectively integrate the business data scattered in different systems, extract effective information from a large number of data, and then convert this information into knowledge. Finally, How to extract the effective information from the business data and then make the correct decision using the business data is the main problem of the business intelligence research. Rational use of drugs is still a common goal pursued by medical workers. How to use drugs more safely, more effectively, more economically, how to make patients spend the least money, receive the best treatment, and suffer minimal side effects, It is still one of the important goals pursued by medical workers. In view of the above situation, this paper combines the drug analysis method with business intelligence to deepen the analysis to a more detailed level and to achieve fine management. To realize the conversion of data to knowledge. This paper intends to use the existing data of doctors in medical units to excavate the valuable experience, guidelines and knowledge of drug use, and to construct the knowledge base of drug use. Then the knowledge base is used to examine the safety and clinical applicability of prescriptions made by doctors, and according to the knowledge base, to guide and review the prescriptions made by doctors, and to warn the prescriptions that may contain potential problems in time. In order to ensure the correctness, safety and applicability of the prescription, and to arrange, clean, analyze and excavate the medication data of doctors, it can provide assistant decision and comprehensive analysis basis for medical workers, clinical administrators and scientific research personnel.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：R197.3;TP311.13

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