基于医疗大数据的手术分级探索与实践  

Exploration and Practice of Operation Classification Based on Medical Big Data

作　　者：侯冷晨[1] 牛培勤[1] 张震军 邢晨伟 杨佳芳[1] 张戟[1] 胡龙军 HOU Lengchen;NIU Peiqin;ZHANG Zhenjun(Tenth People's Hospital of Tongji University,Shanghai,200072,China;不详)

机构地区：[1]同济大学附属第十人民医院,上海200072

出　　处：《中国卫生质量管理》2020年第3期38-39,58,共3页Chinese Health Quality Management

基　　金：上海申康医院发展中心课题(2017SKMR-07)。

摘　　要：根据平均总费用、平均手术费用、平均手术成本、平均手术时间、平均手术人员、次要诊断平均个数、手术死亡率、平均住院日、平均术后住院日等9大指标,以2017年产生的医疗大数据,测算各级手术的难度系数,对同级别手术难度全面量化,将顺序数据转变为数值型数据,且动态调整,构建了一套可量化、可推广、符合实际的手术难度系数评价系统,激发了临床医师参与手术分级实践的积极性,推动了手术分级绩效管理的开展。According to the medical big data generated by the hospital in 2017,the comprehensive classification of operative difficulty was explored based on nine index of average total cost,average operation expense,average operation cost,average operation time,average operation personnel,average number of secondary diagnoses,operative mortality,average hospital stay,and average postoperative hospital stay.The difficulty coefficient of all levels of operation,and comprehensively quantify the difficulty of the same level of operation were measured,followed by converting the sequence data into numerical data with dynamic adjustment.A quantifiable,scalable and practical evaluation system of surgical difficulty coefficient was established,which stimulated the enthusiasm of clinical participation in operation classification practice and promoted the development of operation classification performance management.

关 键 词：手术难度分级 绩效管理 医疗大数据 

分 类 号：R197.323[医药卫生—卫生事业管理]