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数据挖掘技术在放射科医疗管理中的潜在作用
引用本文:戈欣,吴晓芬,许建荣. 数据挖掘技术在放射科医疗管理中的潜在作用[J]. 中国数字医学, 2009, 4(1): 60-62. DOI: 10.3969/j.issn.1673-7571.2009.01.019
作者姓名:戈欣  吴晓芬  许建荣
作者单位:福建省立医院信息科,350001,福建省福州市东街134号
摘    要:随着计算机、网络信息技术的飞速发展,放射科医疗流程也发生了巨大变化,RIS/PACS系统集医用影像的数字化采集、存储、管理、传输等功能于一体,提高了放射科的工作效率。目前,很多医院都已建立了包含数以百万计或千万计的放射影像资料库。面对如此庞大的数据库。如果没有相应的技术手段对其进行整理、分析,就不能分析出数据中存在的关系和规则,亦不能根据现有的数据预测未来走势,从而陷入“数据爆炸”的困惑中。数据挖掘技术的出现改变了这种现状。目前已在众多领域得到广泛应用并取得巨大收益。如何将这种技术应用到放射科的数据库,提高放射科医疗管理质量,已成为放射科从业人员特别是放射科管理人员的研究方向。

关 键 词:数据挖掘  放射科  医疗管理

Potential Influence of Data Mining Technology in the Medical Management of Department of Radiology
GE Xin,WU Xiao-fen,XU Jian-rong. Potential Influence of Data Mining Technology in the Medical Management of Department of Radiology[J]. China Digital Medicine, 2009, 4(1): 60-62. DOI: 10.3969/j.issn.1673-7571.2009.01.019
Authors:GE Xin  WU Xiao-fen  XU Jian-rong
Affiliation:(Department of Radiology, Renji Hospital Affiliated to School of Medicine, SJTU, Shanghai 200127, P.R.C.)
Abstract:Along with the rapid development of the computer and network information technology, medical treatment flow in department of radiology has changed greatly. The work efficiency in department of radiology is increased with integration of digital acquisition, storage, management and transmission for medical images through RIS/PACS system. Presently, a great many hospitals have established database that contains millions and millions radiological images, It is unavailable to analyze the existent relations and rules in the data and to forecast the prospective trend according to the current data if without corresponding techniques for sorting and analyzing while facing such a huge database, which leads to Data Explosion confusion. The coming of the data mining technology altered present situation and has extended to plenty of fields with big benefits. The approach to apply such technology into database in department of radiology to promote its medical management quality, becomes the research direction of the medical workers, especially the administrative staff of the department of radiology.
Keywords:data mining   department of radiology   medical management
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