System approach to prevent lost studies and improve radiology report turnaround time

采用系统方法防止研究资料丢失并提高放射学报告周转时间

阅读:2

Abstract

PURPOSE: On our picture archiving and communication system worklist, there was no way to differentiate body imaging (BI) from musculoskeletal (MSK) MR pelvis examinations. They were listed on only the BI worklist. This resulted in 'lost' MSK MR pelvis studies with high report turnaround time (TAT). Some exams had preliminary reports with substantiative changes made days later when found. The goals of this project were to create a solution to prevent 'lost' exams and improve TAT. METHODS: A report of 3 months of MR pelvis studies was reviewed to determine time to first view by MSK radiologists, time of completion, time of preliminary report and time of final signature. Mean TAT was calculated and exams with delays in reporting resident misinterpretation recorded.An MSK reserve flag was created for the BI radiologists to use when they found an MSK study on their worklist. The flag moved them onto the MSK reserve worklist. A second intervention included technologists placing the reserve on examination completion. After this, another 3 months of data was analysed. RESULTS: There was a significant improvement (p=0.0018) in time to view by MSK from preintervention mean of 1125 min (n=107) to postintervention mean of 526 min (n=127). There was also a significant improvement (p=0.0033) in time to view inpatient and Emergency department cases from 927 min to 357 min. Time from study completion to final signature also improved from a mean of 1764 min to 838 min, though not statistically significant (p=0.08). There were five cases of delay in reporting resident misinterpretation preintervention and none postintervention. CONCLUSION: Our intervention shows the importance of modifying human and informatics factors to solve a patient safety issue.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。