Literature DB >> 29404851

A General Framework for Monitoring Image Acquisition Workflow in the Radiology Environment: Timeliness for Acute Stroke CT Imaging.

Timothy P Szczykutowicz1,2,3,4, Christina L Brunnquell5,6, Gregory D Avey6, Carrie Bartels6, Daryn S Belden6, Richard J Bruce6, Aaron S Field6,7, Walter W Peppler5,6, Peter Wasmund6, Gary Wendt6.   

Abstract

Many facets of an image acquisition workflow leave a digital footprint, making workflow analysis amenable to an informatics-based solution. This paper describes a detailed framework for analyzing workflow and uses acute stroke response timeliness in CT as a practical demonstration. We review methods for accessing the digital footprints resulting from common technologist/device interactions. This overview lays a foundation for obtaining data for workflow analysis. We demonstrate the method by analyzing CT imaging efficiency in the setting of acute stroke. We successfully used digital footprints of CT technologists to analyze their workflow. We presented an overview of other digital footprints including but not limited to contrast administration, patient positioning, billing, reformat creation, and scheduling. A framework for analyzing image acquisition workflow was presented. This framework is transferable to any modality, as the key steps of image acquisition, image reconstruction, image post processing, and image transfer to PACS are common to any imaging modality in diagnostic radiology.

Entities:  

Keywords:  CT; Compliance; Informatics; Quality control; Radiology workflow; Stroke

Mesh:

Year:  2018        PMID: 29404851      PMCID: PMC5873477          DOI: 10.1007/s10278-018-0055-1

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  34 in total

1.  Workflow optimization: current trends and future directions.

Authors:  Bruce Reiner; Eliot Siegel; John A Carrino
Journal:  J Digit Imaging       Date:  2002-12-17       Impact factor: 4.056

2.  RADIANCE: An automated, enterprise-wide solution for archiving and reporting CT radiation dose estimates.

Authors:  Tessa S Cook; Stefan L Zimmerman; Scott R Steingall; Andrew D A Maidment; Woojin Kim; William W Boonn
Journal:  Radiographics       Date:  2011-10-03       Impact factor: 5.333

3.  Impact of PACS on dictation turnaround time and productivity.

Authors:  Luigi Lepanto; Guy Paré; David Aubry; Pierre Robillard; Jacques Lesage
Journal:  J Digit Imaging       Date:  2006-03       Impact factor: 4.056

Review 4.  Basics of imaging informatics: part 2.

Authors:  Barton F Branstetter
Journal:  Radiology       Date:  2007-07       Impact factor: 11.105

5.  Effect of film-based versus filmless operation on the productivity of CT technologists.

Authors:  B I Reiner; E L Siegel; F J Hooper; D Glasser
Journal:  Radiology       Date:  1998-05       Impact factor: 11.105

6.  Tracking Patterns of Nonadherence to Prescribed CT Protocol Parameters.

Authors:  Timothy P Szczykutowicz; Annelise Malkus; Amanda Ciano; Myron Pozniak
Journal:  J Am Coll Radiol       Date:  2016-12-04       Impact factor: 5.532

7.  Time comparison of intensive care units with and without digital viewing systems.

Authors:  L M Humphrey; K Fitzpatrick; N Atallah; C E Ravin
Journal:  J Digit Imaging       Date:  1993-02       Impact factor: 4.056

8.  Time is brain--quantified.

Authors:  Jeffrey L Saver
Journal:  Stroke       Date:  2005-12-08       Impact factor: 7.914

9.  Radiology workflow and patient volume: effect of picture archiving and communication systems on technologists and radiologists.

Authors:  R O Redfern; S C Horii; E Feingold; H L Kundel
Journal:  J Digit Imaging       Date:  2000-05       Impact factor: 4.056

10.  The evolving role of the radiologist: the Vancouver workload utilization evaluation study.

Authors:  Deljit Dhanoa; Tajinder S Dhesi; Kirsteen R Burton; Savvas Nicolaou; Teresa Liang
Journal:  J Am Coll Radiol       Date:  2013-06-12       Impact factor: 5.532

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