Literature DB >> 19800590

Analyzing the differential impact of radiology information systems across radiology modalities.

Atanu Lahiri1, Abraham Seidmann.   

Abstract

PURPOSE: The aim of this study was to assess the impact of redesigning a medical imaging workflow using a commercial radiology information system (RIS), particularly the impact of implementing a disciplined collection of background clinical information all along the clinical service chain.
MATERIALS AND METHODS: The impact of the RIS on the total report turnaround time and on its various components, such as the radiologist interpretation, transcription, and radiologist review turnaround times, was empirically investigated. Advanced statistical tools were used, including lognormal survival functions and t-tests, to compare and analyze the pre-RIS and post-RIS operational performance of a regional network of outpatient clinics.
RESULTS: The RIS installation did not produce uniform benefits for all modalities. There was no statistically significant impact on report turnaround times for magnetic resonance imaging. On the other hand, turnaround times for mammographic studies declined significantly.
CONCLUSION: Although the additional time needed to navigate through the RIS screens might have (unexpectedly) increased the radiologists' interpretation cycle times, the overall benefits of the RIS outweighed this negative effect in this study. Before the RIS installation some clinical background information was not available to the radiologists at the time of interpretation. As a part of the RIS implementation the radiology practice introduced several disciplined data collection procedures to make such information readily available downstream. These procedures significantly reduced the percentage of mammographic studies that had to be put on hold, increasing radiologists' overall performance and income. The effectiveness of any RIS solution, therefore, significantly depends on systemwide analyses of all relevant performance metrics and also on the creative implementation of new clinical and administrative workflows.

Entities:  

Mesh:

Year:  2009        PMID: 19800590     DOI: 10.1016/j.jacr.2009.05.012

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  5 in total

1.  Analyzing PACS Usage Patterns by Means of Process Mining: Steps Toward a More Detailed Workflow Analysis in Radiology.

Authors:  Daniel Forsberg; Beverly Rosipko; Jeffrey L Sunshine
Journal:  J Digit Imaging       Date:  2016-02       Impact factor: 4.056

2.  Workflow Lexicons in Healthcare: Validation of the SWIM Lexicon.

Authors:  Chris Meenan; Bradley Erickson; Nancy Knight; Jewel Fossett; Elizabeth Olsen; Prerna Mohod; Joseph Chen; Steve G Langer
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

3.  Improved Screening Mammogram Workflow by Maximizing PACS Streamlining Capabilities in an Academic Breast Center.

Authors:  Ramya Pham; Daniel Forsberg; Donna Plecha
Journal:  J Digit Imaging       Date:  2017-04       Impact factor: 4.056

4.  [Digital X-ray: interhospital data transfer by CD-ROM. Prospective data evaluation during the import process].

Authors:  S Vetter; C Hitzigrath; C Wölfl; M Hutter; P-A Grützner; C B Frank
Journal:  Unfallchirurg       Date:  2013-12       Impact factor: 1.000

Review 5.  The effectiveness of service delivery initiatives at improving patients' waiting times in clinical radiology departments: a systematic review.

Authors:  B Olisemeke; Y F Chen; K Hemming; A Girling
Journal:  J Digit Imaging       Date:  2014-12       Impact factor: 4.056

  5 in total

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