期刊文献+

基于DRGs分组的平均住院日分析 被引量:13

Analysis of average length of stay based on DRGs grouping tool
下载PDF
导出
摘要 目的利用DRGs分组工具对平均住院日进行分组分析,探讨平均住院日的控制对策。方法借助DRGs分组管理工具对某院2016年病例进行分组,对排名前10位疾病的平均住院日进行分析。通过与地区最优平均住院日的对比,找到差异,分析原因。结果明确了医技科室效率、手术室利用率、围手术期管理是平均住院日的重要影响因素。结论利用DRGs分组工具对平均住院日进行分组分析,不仅可以有效定位问题,找到原因,还为进一步的平均住院日管理提供目标和依据。 Objective To analyze the average length of stay with DRGs grouping tool and explore the control measures of average length of stay.Methods DRGs grouping management tool was used to group medical records of the hospital in 2016 and the top ten disease groups were analyzed on the average length of stay. By comparing with the best average length of stay in the district, we found the differences and analyzed the reasons.Results It is clear that the efficiency of medical and technical departments, the utilization rate of operating room, and preoperative management are important factors affecting the average length of hospital stay.Conclusion Using DRGs grouping tool to analyze the average length of stay can not only effectively locate the problems and find out the reasons, but also provide the goals and basis for the further management of average length of stay.
作者 关赟 包志清 刘海云 Guan Yun;Bao Zhiqing;Liu Haiyun(Department of Medical Record Management,Yan'an Hospital of Kunming City,Kunming 650200,China)
出处 《中国医院统计》 2019年第1期34-36,共3页 Chinese Journal of Hospital Statistics
关键词 平均住院日 DRGs分组工具 平均住院日管理 hospital average length of stay DRGs grouping tool management of average length of stay
  • 相关文献

参考文献12

二级参考文献80

共引文献906

同被引文献136

引证文献13

二级引证文献60

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部