Cree M Gaskin1, James T Patrie2, Michael D Hanshew1, Dustin M Boatman1, Ryan P McWey1. 1. 1 Department of Radiology and Medical Imaging, University of Virginia Health System, Box 800170, Charlottesville, VA 22908. 2. 2 Department of Health Evaluation Sciences, University of Virginia Health System, Charlottesville, VA.
Abstract
OBJECTIVE: Our institution implemented a read priority scoring system to combat the known limitations of traditional methods for the prioritization of examination interpretations by radiologists. We aimed to determine the impact on report turnaround time (RTAT) and RTAT variability. MATERIALS AND METHODS: On examination completion, technologists entered a read priority score (1-9) using provided definitions. We retrospectively reviewed the median RTAT and RTAT variability (i.e., interquartile range length) for radiology examinations (n = 615,541; 2011-2014). We used Spearman correlation coefficients to determine the relationships between read priority scores and the median RTAT and the RTAT variability by year. We compared median RTAT and RTAT variability between early (2011) versus late (2012-2014) adoption phases using distribution-free random permutation tests. RESULTS: Ranked correlations showed yearly improvement, leading to a near-perfect ranking of median RTAT (r = 0.98, p < 0.001) and a perfect ranking of RTAT variability (r = 1.00, p < 0.001) by nine levels of priority. Eight of the nine priority levels showed a reduction in median RTAT between the early and late phases, and the three most urgent levels--that is, 1, 2, and 3--improved by 23%, 5%, and 70% (all, p < 0.001), respectively. Only one priority level (4, defined as outpatient urgent [8% of studies]) showed significant worsening by 15% (p < 0.001). The three most urgent levels of priority also showed improvements in RTAT variability (61%, 17%, 71%, respectively; all, p < 0.01). Only the lowest level of priority (9) exhibited a significant worsening in RTAT variability by 9% (p < 0.01). CONCLUSION: A reading priority scoring system with defined clinical scenarios yielded desirable prioritization of examination interpretations by radiologists as evidenced by appropriate and improved stratification of RTATs and RTAT variability.
OBJECTIVE: Our institution implemented a read priority scoring system to combat the known limitations of traditional methods for the prioritization of examination interpretations by radiologists. We aimed to determine the impact on report turnaround time (RTAT) and RTAT variability. MATERIALS AND METHODS: On examination completion, technologists entered a read priority score (1-9) using provided definitions. We retrospectively reviewed the median RTAT and RTAT variability (i.e., interquartile range length) for radiology examinations (n = 615,541; 2011-2014). We used Spearman correlation coefficients to determine the relationships between read priority scores and the median RTAT and the RTAT variability by year. We compared median RTAT and RTAT variability between early (2011) versus late (2012-2014) adoption phases using distribution-free random permutation tests. RESULTS: Ranked correlations showed yearly improvement, leading to a near-perfect ranking of median RTAT (r = 0.98, p < 0.001) and a perfect ranking of RTAT variability (r = 1.00, p < 0.001) by nine levels of priority. Eight of the nine priority levels showed a reduction in median RTAT between the early and late phases, and the three most urgent levels--that is, 1, 2, and 3--improved by 23%, 5%, and 70% (all, p < 0.001), respectively. Only one priority level (4, defined as outpatient urgent [8% of studies]) showed significant worsening by 15% (p < 0.001). The three most urgent levels of priority also showed improvements in RTAT variability (61%, 17%, 71%, respectively; all, p < 0.01). Only the lowest level of priority (9) exhibited a significant worsening in RTAT variability by 9% (p < 0.01). CONCLUSION: A reading priority scoring system with defined clinical scenarios yielded desirable prioritization of examination interpretations by radiologists as evidenced by appropriate and improved stratification of RTATs and RTAT variability.
Entities:
Keywords:
prioritization; read priority; reading priority; report turnaround time; stat
Authors: Thomas J O'Neill; Yin Xi; Edward Stehel; Travis Browning; Yee Seng Ng; Chris Baker; Ronald M Peshock Journal: Radiol Artif Intell Date: 2020-11-18