Kovacs Mark D, Cho Maximilian Y, Burchett Philip F, Trambert Michael
Department of Radiology, Medical University of South Carolina, Charleston, SC.
Department of Radiology, University of Southern California, Los Angeles, CA.
Curr Probl Diagn Radiol. 2019 Jan;48(1):37-39. doi: 10.1067/j.cpradiol.2017.12.002. Epub 2018 Jan 6.
With integration of the Radiological Information Systems (RIS), Picture Archiving and Communication systems (PACS), and reporting systems, patient identifiers and examination information can automatically map into examination reports. There are many potential benefits of report automation to radiologists including improvements in efficiency, accuracy, and fatigue. In this article we describe a 2 part study, with the first part being an anonymous survey of radiologists concerning report automation. A total of 13 staff radiologists and 9 radiology residents at a single institution completed an anonymous survey. Respondents were asked if automatic population of examination description, comparison examination data, indications, computed tomography dose, technique, and copy to physician data saved time, decreased fatigue, and increased accuracy. Respondents were asked if a "copy findings" function saved time. The second objective part of the study was a mock examination experiment to assess time savings of report automation and to assess error rates. Of all, 9 radiologists were asked to dictate fields for 8 mock examinations. Subjects were timed and reporting errors monitored. Estimated daily time savings and error rates were calculated assuming a mix of 80 studies. A total of 95% surveyed responded that report automation saved time; 91% that report automation improved accuracy of dictations; 82% that report automation decreased fatigue. Furthermore, 83% of copy finding function users reported time savings. Average time to dictate these prepopulated fields was 51 seconds per study. Average error rate per report was 0.86, with an average of 0.26 errors remaining uncorrected upon report completion. Estimated average time per day saved per radiologist from report automation was 68 minutes. Estimated average corrected errors was 48 per day. Estimated average uncorrected or missed errors was 21 per day. These estimated benefits from report automation result from tight integration of RIS, PACS, and reporting systems.
通过整合放射信息系统(RIS)、图像存档与通信系统(PACS)以及报告系统,患者标识符和检查信息能够自动映射到检查报告中。报告自动化对放射科医生有诸多潜在益处,包括提高效率、准确性以及减轻疲劳。在本文中,我们描述了一项分为两部分的研究,第一部分是针对放射科医生关于报告自动化的匿名调查。一家机构的13名放射科 staff 医生和9名放射科住院医师完成了一项匿名调查。受访者被问及检查描述、对比检查数据、指征、计算机断层扫描剂量、技术以及复制给医生的数据自动填充是否节省了时间、减轻了疲劳并提高了准确性。受访者还被问及“复制检查结果”功能是否节省了时间。该研究的第二个客观部分是一个模拟检查实验,以评估报告自动化节省的时间以及评估错误率。总共9名放射科医生被要求为8次模拟检查口述字段。记录受试者的时间并监测报告错误。假设混合进行80项检查,计算出估计的每日节省时间和错误率。总共95%的受访者表示报告自动化节省了时间;91%表示报告自动化提高了口述的准确性;82%表示报告自动化减轻了疲劳。此外,83%使用复制检查结果功能的用户表示节省了时间。为这些预填充字段口述的平均时间为每项研究51秒。每份报告的平均错误率为0.86,报告完成时平均有0.26个错误未得到纠正。估计每位放射科医生每天因报告自动化节省的平均时间为68分钟。估计平均每天纠正的错误为48个。估计平均每天未纠正或遗漏的错误为21个。报告自动化带来的这些估计益处源于RIS、PACS和报告系统的紧密整合。