Literature DB >> 27397691

Development of a local relative value unit to measure radiologists' computed tomography reporting workload.

Jose Miguel Dora1, Felipe Soares Torres2, Marcos Gerchman3, Flavio S Fogliatto3.   

Abstract

INTRODUCTION: Demand for CT examinations is continually increasing, with radiologists' reporting times (RRTs) being the major constraint in CT productivity. As CT complexity varies according to the anatomical region, there is a need for methods that normalize radiologist work to address reporting workload.
METHODS: All CT orders, from July 2013 to February 2015, from a 850-bed tertiary-care, university-based general hospital in southern Brazil, were studied. Type of examination and RRTs were retrieved from our Radiology Information System/IMPAX. Based on RRTs, after exclusion of spurious results, we calculated local relative value units (L-RVUs) for different examinations. We also compared these results with the US-Medicare/Medicaid RVU (US-RVU).
RESULTS: The query resulted in 42,382 occurrences for 24 tests. Among the tests, 15 had sample size n ≥ 100. The 9 tests with n < 100 were grouped into 4 sets of tests, resulting in the analysis of 17 categories of tests. RRTs for total abdomen CT, thorax CT and central nervous system CT were 17.1 ± 14.6, 14.2 ± 11.1 and 7.0 ± 6.5 minutes, respectively. L-RVUs for the 17 categories of tests were calculated, resulting in values from 1.00 to 4.18. L-RVU and US-RVU displayed no correlation (r = 0.05; P-value = 0.86).
CONCLUSION: Computed tomography radiologists' reporting workload varies considerably across different tests. Moreover, the lack of significant correlation between US-RVU and L-RVU highlights the need for contextualized methods to locally address radiologists' reporting workload. Thus, the use of L-RVU could aid in planning and managing a CT Unit.
© 2016 The Royal Australian and New Zealand College of Radiologists.

Keywords:  productivity; quality indicators; radiology; radiology health operations

Mesh:

Year:  2016        PMID: 27397691     DOI: 10.1111/1754-9485.12492

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  2 in total

1.  Systematic Layout Planning of a Radiology Reporting Area to Optimize Radiologists' Performance.

Authors:  Guilherme Brittes Benitez; Flavio Sanson Fogliatto; Ricardo Bertoglio Cardoso; Felipe Soares Torres; Carlo Sasso Faccin; José Miguel Dora
Journal:  J Digit Imaging       Date:  2018-04       Impact factor: 4.056

2.  Routine chest CT for staging of gastric cancer.

Authors:  A-H Chen; W-H Chan; Y-H Lee; J-H Tseng; T-S Yeh; C-T Chiu; J-S Chen; C-M Chen
Journal:  Br J Surg       Date:  2019-06-18       Impact factor: 6.939

  2 in total

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