基于PDCA循环法的药品编码效率对比实验分析  

Comparative Experimental Analysis of Drug Coding Efficiency Based on PDCA Cycle Method

作　　者：李柯 LI Ke(Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China)

机构地区：[1]首都医科大学附属北京世纪坛医院,北京100038

出　　处：《微型电脑应用》2022年第6期198-201,共4页Microcomputer Applications

摘　　要：针对药品电子单信息不准确、编码效率低等问题,采用计划—执行—检查—处理(Plan-Do-Check-Act,PDCA)循环方法对2020年分娩婴儿的药品电子单的编码状态进行统计分析,采用计算机辅助编码(Computer Assisted Coding,CAC)系统来智能分配药品电子单代码,帮助编码人员为特定病历选择最合适的药品电子单代码。实验分析结果表明,药品名称代码和主要诊断代码的错误率大大降低,错误率最低值为0.285%。Aiming at the problems of inaccurate information and low coding efficiency of the drug e-bills,this study adopts the plan-do-check-evaluation(Plan-Do-Check-Act,PDCA)cycle method to carry out the coding status of the drug e-bills for babies delivered in 2020 to do statistical analysis.A computer assisted coding(CAC)system is used to intelligently allocate drug electronic bill codes to help coders choose the most appropriate drug electronic bill codes for specific medical records.The experimental analysis results show that the error rate of the drug name code and the main diagnostic code is greatly reduced,with the lowest error rate being 0.285%.

关 键 词：PDCA循环法 药品电子单 编码效率 计算机辅助编码系统 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]