Glover McKinley, Almeida Renata R, Schaefer Pamela W, Lev Michael H, Mehan William A
Massachusetts General Physicians Organization, Boston, Massachusetts; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
J Am Coll Radiol. 2017 Nov;14(11):1498-1503. doi: 10.1016/j.jacr.2017.07.023. Epub 2017 Sep 13.
Traditional radiology productivity metrics do not account for noninterpretive tasks (NITs). This study aimed to systematically quantify NITs and their impact on report turn-around time (RTAT) during solo academic neuroradiology overnight coverage in the emergency department.
Retrospective analysis of 1 week of data, including phone call quantity and duration, clinician identification badge access to the reading room ("badge swipes"), suspected acute strokes, imaging examination volume, and emergency department patient volume, was performed. Univariate analyses were employed to quantify NITs. Multivariate linear regression was used to determine if NITs within an hour are predictive of RTAT of studies completed within that hour.
Sixty-three hours of overnight neuroradiology coverage were analyzed. The mean number of phone calls per hour was 8.7 (SD: 5.7), and mean duration of phone calls per hour was 12 min (SD: 9.6 min, range 1-46). The mean number of badge swipes per hour was 2.1 (SD 1.6). The mean number of examinations (CT and MRI) performed per hour was 2.2 (SD: 1.7). Regression analyses found total duration of phone calls in an hour as the strongest independent predictor of RTAT (unstandardized β = 4.25, P < .001). The overall multivariate model was also significant (P < .001, R = 0.596; adjusted R = 0.578).
For every 1-min increase in total duration of calls in an hour, mean RTAT increased by 4.25 min. Standardizing capture of NITs may aid development of strategies that address productivity, communication, and value in radiology.
传统放射学生产率指标未考虑非解读性任务(NITs)。本研究旨在系统量化在急诊科进行的学术性神经放射科单人夜间值班期间的NITs及其对报告周转时间(RTAT)的影响。
对1周的数据进行回顾性分析,包括电话数量和时长、临床医生进入阅片室的识别徽章记录(“徽章刷卡记录”)、疑似急性中风病例、影像检查量以及急诊科患者量。采用单因素分析来量化NITs。使用多元线性回归来确定1小时内的NITs是否可预测该小时内完成检查的RTAT。
分析了63小时的夜间神经放射科值班情况。每小时平均电话数量为8.7(标准差:5.7),每小时平均通话时长为12分钟(标准差:9.6分钟,范围1 - 46分钟)。每小时平均徽章刷卡次数为2.1(标准差1.6)。每小时平均进行的检查(CT和MRI)数量为2.2(标准差:1.7)。回归分析发现,1小时内电话总时长是RTAT最强的独立预测因素(非标准化β = 4.25,P < .001)。整体多元模型也具有显著性(P < .001,R = 0.596;调整后R = 0.578)。
每小时通话总时长每增加1分钟,平均RTAT增加4.25分钟。对NITs进行标准化记录可能有助于制定提高放射学生产率、改善沟通及提升价值的策略。