临床医疗大数据研究现状与展望  

Research situation and expectation of clinical healthcare big data

作　　者：陆易[1] 黄正行[1] 俞思伟[2] 段会龙[1] 

机构地区：[1]浙江大学生物医学工程与仪器科学学院,杭州310027 [2]武汉大学医学部,武汉430071

出　　处：《医疗卫生装备》2017年第3期112-115,共4页Chinese Medical Equipment Journal

摘　　要：目的:探索大数据挖掘技术在临床医疗环境中的研究及应用。方法:介绍临床医疗大数据挖掘方法的特点,根据文献挖掘方法,分析医疗大数据挖掘技术在临床任务中的研究现状,并从医药研究、个性化诊疗、风险预测、过程挖掘4个方面阐述医疗大数据挖掘在临床中的应用。结果:指出了临床医疗大数据研究及应用的必要性和重要性,归纳总结了其在临床应用中所取得的成就以及存在的问题和技术难点,并对其发展前景进行了展望。结论:临床医疗大数据挖掘的研究及应用,提高了医疗质量,促进了医学进步,是今后临床医疗的研究发展方向之一。Objective To explore the research and application of big data mining technology in clinical healthcare environment.Methods The characteristics of clinical healthcare data mining methods were expounded and the current research status of healthcare data mining technology was analyzed in clinical task according to the literature mining.Meanwhile,the application of healthcare data mining in clinical environment was introduced from the following four aspects：medicine research,personalized diagnosis,risk prediction and process mining.Results The necessity and importance of research and application of clinical healthcare data mining were illustrated.Moreover,the achievements of healthcare data mining in clinical application,as well as existing problems and technical difficulties were summarized.Furthermore,the development tendencies of healthcare data mining were predicted.Conclusion The research and application of clinical healthcare data mining have improved the healthcare quality and promoted the medical advances,which is the development direction of clinical healthcare research.

关 键 词：临床医疗 医疗大数据 数据挖掘 数据驱动 医学研究 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] R-05[自动化与计算机技术—计算机科学与技术]