基于数据挖掘的临床路径抽取与应用  

Clinical Pathway Extraction and Application Based on Data Mining

作　　者：田宗梅[1] 王莉[2] 肖琳[2] 

机构地区：[1]首都医科大学附属北京世纪坛医院信息中心 [2]首都医科大学附属北京世纪坛医院

出　　处：《中国数字医学》2015年第6期2-4,共3页China Digital Medicine

基　　金：国家自然科学基金资助项目(编号:71432002)~~

摘　　要：目的:改进临床路径制定方法,提高临床路径实施质量。方法:基于循证医学,以老年性白内障病种为例,利用数据挖掘、病历聚类分析、信息系统开发等方法制定并实施临床路径。结果:使用本方法与传统方法制定的临床路径相比,住院医嘱聚集程度显著提高12.03%,患者住院费用(不含人工晶体)显著减少273.38元。结论:通过研究方法,可形成基于循证医学的临床路径制定、实施,并按照质量管理方法PDCA环持续改进的有效方法,提高临床路径实施质量,提高工作效率。Objective： To improve the clinical pathway methods, improve the quality of clinical pathway implementation. Methods： Based on evidence-based medicine and senile cataract disease, we using some methods such as data mining, clustering analysis, information systems development to formulate and implement clinical pathway. Results： Using the method compared with the traditional method of clinical pathway, the doctor＇s advice aggregation degree increased 12.03% significantly in the hospital, hospitalization expenses （excluding artificial crystal） in patients with significantly reduced 273.38 YUAN. Conclusion： Through the research methods, this paper can formed an effective method based on evidence-based medicine （EBM） of the clinical pathway formulation, implementation, and continuing improvement of the quality management method PDCA loop, to improve the quality of clinical pathway implementation, improve the work efficiency.

关 键 词：临床路径 数据挖掘 聚类分析 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]