Department of Radiology, Division of Abdominal Imaging, Massachusetts General Hospital, 55 Fruit St, White 270, Boston, MA 02114.
Department of Radiology, Massachusetts General Hospital, Boston, MA.
AJR Am J Roentgenol. 2024 Apr;222(4):e2329806. doi: 10.2214/AJR.23.29806. Epub 2024 Jan 17.
Examination protocoling is a noninterpretive task that increases radiologists' workload and can cause workflow inefficiencies. The purpose of this study was to evaluate effects of an automated CT protocoling system on examination process times and protocol error rates. This retrospective study included 317,597 CT examinations (mean age, 61.8 ± 18.1 [SD] years; male, 161,125; female, 156,447; unspecified sex, 25) from July 2020 to June 2022. A rules-based automated protocoling system was implemented institution-wide; the system evaluated all CT orders in the EHR and assigned a protocol or directed the order for manual radiologist protocoling. The study period comprised pilot (July 2020 to December 2020), implementation (January 2021 to December 2021), and postimplementation (January 2022 to June 2022) phases. Proportions of automatically protocoled examinations were summarized. Process times were recorded. Protocol error rates were assessed by counts of quality improvement (QI) reports and examination recalls and comparison with retrospectively assigned protocols in 450 randomly selected examinations. Frequency of automatic protocoling was 19,366/70,780 (27.4%), 68,875/163,068 (42.2%), and 54,045/83,749 (64.5%) in pilot, implementation, and postimplementation phases, respectively ( < .001). Mean (± SD) times from order entry to protocol assignment for automatically and manually protocoled examinations for emergency department examinations were 0.2 ± 18.2 and 2.1 ± 69.7 hours, respectively; mean inpatient examination times were 0.5 ± 50.0 and 3.5 ± 105.5 hours; and mean outpatient examination times were 361.7 ± 1165.5 and 1289.9 ± 2050.9 hours (all < .001). Mean (± SD) times from order entry to examination completion for automatically and manually protocoled examinations for emergency department examinations were 2.6 ± 38.6 and 4.2 ± 73.0 hours, respectively ( < .001); for inpatient examinations were 6.3 ± 74.6 and 8.7 ± 109.3 hours ( = .001); and for outpatient examinations were 1367.2 ± 1795.8 and 1471.8 ± 2118.3 hours ( < .001). In the three phases, there were three, 19, and 25 QI reports and zero, one, and three recalls, respectively, for automatically protocoled examinations, versus nine, 19, and five QI reports and one, seven, and zero recalls for manually protocoled examinations. Retrospectively assigned protocols were concordant with 212/214 (99.1%) of automatically protocoled versus 233/236 (98.7%) of manually protocoled examinations. The automated protocoling system substantially reduced radiologists' protocoling workload and decreased times from order entry to protocol assignment and examination completion; protocol errors and recalls were infrequent. The system represents a solution for reducing radiologists' time spent performing noninterpretive tasks and improving care efficiency.
检查方案制定是一项非解释性任务,会增加放射科医生的工作量,并可能导致工作流程效率低下。本研究的目的是评估自动 CT 方案制定系统对检查过程时间和方案错误率的影响。这项回顾性研究包括 2020 年 7 月至 2022 年 6 月期间的 317597 次 CT 检查(平均年龄 61.8±18.1[SD]岁;男性 161125 例;女性 156447 例;未指定性别 25 例)。在机构范围内实施了基于规则的自动方案制定系统;该系统评估了电子病历中的所有 CT 订单,并分配了方案或指导订单进行手动放射科医生方案制定。研究期间包括试点阶段(2020 年 7 月至 2020 年 12 月)、实施阶段(2021 年 1 月至 2021 年 12 月)和实施后阶段(2022 年 1 月至 2022 年 6 月)。总结了自动方案制定的比例。记录了过程时间。通过质量改进(QI)报告和检查召回的数量以及与 450 次随机选择的检查中回顾性分配的方案进行比较,评估了方案错误率。在试点阶段、实施阶段和实施后阶段,自动方案制定的频率分别为 19366/70780(27.4%)、68875/163068(42.2%)和 54045/83749(64.5%)(<.001)。急诊检查中自动和手动方案制定的从订单输入到方案分配的平均(±SD)时间分别为 0.2±18.2 小时和 2.1±69.7 小时;住院检查的平均时间分别为 0.5±50.0 小时和 3.5±105.5 小时;门诊检查的平均时间分别为 361.7±1165.5 小时和 1289.9±2050.9 小时(均<.001)。急诊检查中自动和手动方案制定的从订单输入到检查完成的平均(±SD)时间分别为 2.6±38.6 小时和 4.2±73.0 小时(<.001);住院检查分别为 6.3±74.6 小时和 8.7±109.3 小时(=0.001);门诊检查分别为 1367.2±1795.8 小时和 1471.8±2118.3 小时(<.001)。在三个阶段,自动方案制定的检查中分别有 3 次、19 次和 25 次 QI 报告和 0 次、1 次和 3 次召回,而手动方案制定的检查中分别有 9 次、19 次和 5 次 QI 报告和 1 次、7 次和 0 次召回。回顾性分配的方案与 212/214(99.1%)次自动方案制定的检查和 233/236(98.7%)次手动方案制定的检查一致。自动方案制定系统大大减少了放射科医生的方案制定工作量,并缩短了从订单输入到方案分配和检查完成的时间;方案错误和召回很少发生。该系统为减少放射科医生花费在非解释性任务上的时间和提高护理效率提供了一种解决方案。