Systematic Layout Planning of a Radiology Reporting Area to Optimize Radiologists’ Performance-Reference-Cited by-同舟云学术

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Systematic Layout Planning of a Radiology Reporting Area to Optimize Radiologists’ Performance

Published:2017-11-28 Issue:2 Volume:31 Page:193-200
ISSN:0897-1889
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Benitez Guilherme Brittes,Fogliatto Flavio Sanson,Cardoso Ricardo Bertoglio,Torres Felipe Soares,Faccin Carlo Sasso,Dora José Miguel

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://link.springer.com/article/10.1007/s10278-017-0036-9/fulltext.html

Reference25 articles.

1. Bhargavan M, Kaye AH, Forman HP, Sunshine JH: Workload of radiologists in United States in 2006–2007 and trends since 1991–1992. Radiology. 252(2):458–467, 2009. https://doi.org/10.1148/radiol.2522081895

2. Duszak, Jr R, Muroff LR: Measuring and Managing Radiologist Productivity, Part 1: Clinical Metrics and Benchmarks. Journal of the American College of Radiology. 7(6):452–458, 2010. https://doi.org/10.1016/j.jacr.2010.01.026

3. MacDonald SL, Cowan IA, Floyd R, Mackintosh S, Graham R, Jenkins E et al.: Measuring and managing radiologist workload: application of lean and constraint theories and production planning principles to planning radiology services in a major tertiary hospital. Journal of medical imaging and radiation oncology. 57(5):544–550, 2013. https://doi.org/10.1111/1754-9485.12090

4. Ondategui-Parra S, Gill IE, Bhagwat JG, Intrieri LA, Gogate A, Zou KH et al.: Clinical operations management in radiology. Journal of the American College of Radiology : JACR. 1(9):632–640, 2004. https://doi.org/10.1016/j.jacr.2004.04.015

5. Dora J, Torres F, Gerchman M, Fogliatto F: Development of a local relative value unit to measure radiologists’ computed tomography reporting workload. Journal of medical imaging and radiation oncology, 2016. https://doi.org/10.1111/1754-9485.12492

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