PDCA提升分子诊断自动审核通过率的效果研究

Effect of PDCA in the improving of the pass rate of auto verification in molecular diagnosis

目的探讨PDCA提升分子诊断自动审核通过率的效果。方法基于PDCA思路,使用系统导出的自动审核效能数据作为现状调查数据,以此确定目标、分析原因并确定主因,然后在此基础上制订措施并实施,再次使用自动审核效能数据进行效果分析,不达标者再次进行原因分析,进入PDCA循环,目标达到者固化措施,总结并制订下一步计划。结果分子诊断自动审核通过率由31.2%提升至66.2%,报告单审核效率提升了60.0%,检测项目标本周转时间(TAT)缩短2.2 h。结论使用PDCA循环结合实验室预警效能分析能够有效推进自动审核工作,该方法亦可推广用于实验室其他方面的改进。

Objective To discuss the effect of PDCA in the improving of the pass rate of auto verification in molecular diagnosis.Methods Based on the principle of PDCA,we used the data of auto verification effectiveness derived from the system as the current survey data to determine the objectives,the causes were analyzed and the main causes were determined.Then,on this basis,measures were formulated and implemented.And the data of auto verification was used to analyze the effectiveness,and the causes of those who failed to meet the standards were analyzed again,thus entering the PDCA cycle.The solidification measures of those who achieve the goals were summarized.A plan was made for the next step.Results The pass rate of auto verification in molecular diagnostics discipline was increased from 31.2%to 66.2%,the efficiency of report form examination was increased by 60.0%,and the turned around time(TAT)of testing items was shortened by 2.2 hours.Conclusion PDCA cycle combined with laboratory early warning effectiveness analysis could effectively promote auto verification,and this method could also be extended to other aspects of the improvement of the experiment.