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Tracking Delays in Report Availability Caused by Incorrect Exam Status with Web-Based Issue Tracking: A Quality Initiative

机译:通过基于Web的问题跟踪,由错误的考试状态导致的报告可用性跟踪延迟:一项质量举措

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摘要

Many radiology information systems (RIS) cannot accept a final report from a dictation reporting system before the exam has been completed in the RIS by a technologist. A radiologist can still render a report in a reporting system once images are available, but the RIS and ancillary systems may not get the results because of the study’s uncompleted status. This delay in completing the study caused an alarming number of delayed reports and was undetected by conventional RIS reporting techniques. We developed a Web-based reporting tool to monitor uncompleted exams and automatically page section supervisors when a report was being delayed by its incomplete status in the RIS. Institutional Review Board exemption was obtained. At four imaging centers, a Python script was developed to poll the dictation system every 10 min for exams in five different modalities that were signed by the radiologist but could not be sent to the RIS. This script logged the exams into an existing Web-based tracking tool using PHP and a MySQL database. The script also text-paged the modality supervisor. The script logged the time at which the report was finally sent, and statistics were aggregated onto a separate Web-based reporting tool. Over a 1-year period, the average number of uncompleted exams per month and time to problem resolution decreased at every imaging center and in almost every imaging modality. Automated feedback provides a vital link in improving technologist performance and patient care without assigning a human resource to manage report queues.
机译:在技​​术人员在RIS中完成检查之前,许多放射学信息系统(RIS)无法接受听写报告系统的最终报告。影像可用后,放射科医生仍可以在报告系统中提供报告,但是RIS和辅助系统可能由于研究的未完成状态而无法获得结果。完成研究的这种延迟导致了令人震惊的延迟报告数量,而传统的RIS报告技术并未发现这种延迟。我们开发了一个基于Web的报告工具来监视未完成的考试,并在报告由于RIS中不完整的状态而延迟报告时自动对部门主管进行分页。获得了机构审查委员会的豁免。在四个成像中心,开发了一个Python脚本以每10分钟轮询一次命令系统,以放射科医生签署但无法发送给RIS的五种不同方式进行检查。该脚本使用PHP和MySQL数据库将考试记录到现有的基于Web的跟踪工具中。该脚本还对模式管理程序进行了文本分页。该脚本记录了最终发送报告的时间,并将统计信息汇总到单独的基于Web的报告工具中。在1年的时间里,每个成像中心和几乎每个成像方式中,每月平均未完成检查次数和解决问题的时间减少。自动化反馈为提高技术人员的绩效和患者护理提供了至关重要的环节,而无需分配人力来管理报告队列。

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