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基于网络的问题跟踪系统中因检查状态不正确导致报告延迟:一项质量改进措施。

Tracking delays in report availability caused by incorrect exam status with Web-based issue tracking: a quality initiative.

机构信息

Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 22 South Greene Street, Baltimore, MD 21201, USA.

出版信息

J Digit Imaging. 2011 Apr;24(2):300-7. doi: 10.1007/s10278-010-9330-5.

Abstract

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.

摘要

许多放射信息系统(RIS)无法在技师在 RIS 中完成检查之前接受来自听写报告系统的最终报告。放射科医生仍然可以在有图像可用时在报告系统中生成报告,但由于研究的未完成状态,RIS 和辅助系统可能无法获得结果。这种研究完成的延迟导致了大量报告的延迟,并且常规的 RIS 报告技术无法检测到。我们开发了一个基于 Web 的报告工具来监控未完成的检查,并在报告因 RIS 中的未完成状态而延迟时自动向部门主管发出页面。已获得机构审查委员会豁免。在四个成像中心,开发了一个 Python 脚本来每 10 分钟轮询一次五种不同模式的听写系统,这些模式由放射科医生签署,但无法发送到 RIS。该脚本使用 PHP 和 MySQL 数据库将检查记录到现有的基于 Web 的跟踪工具中。该脚本还通过文本向模式主管发送页面。该脚本记录了最终发送报告的时间,并将统计信息汇总到一个单独的基于 Web 的报告工具中。在一年的时间里,每个成像中心和几乎每个成像模式的未完成检查数量和问题解决时间都有所减少。自动化反馈在不分配人力资源来管理报告队列的情况下,为改善技师绩效和患者护理提供了至关重要的环节。

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本文引用的文献

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