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Erschienen in: Journal of Digital Imaging 3/2017

03.01.2017

Workflow Lexicons in Healthcare: Validation of the SWIM Lexicon

verfasst von: Chris Meenan, Bradley Erickson, Nancy Knight, Jewel Fossett, Elizabeth Olsen, Prerna Mohod, Joseph Chen, Steve G. Langer

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 3/2017

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Abstract

For clinical departments seeking to successfully navigate the challenges of modern health reform, obtaining access to operational and clinical data to establish and sustain goals for improving quality is essential. More broadly, health delivery organizations are also seeking to understand performance across multiple facilities and often across multiple electronic medical record (EMR) systems. Interpreting operational data across multiple vendor systems can be challenging, as various manufacturers may describe different departmental workflow steps in different ways and sometimes even within a single vendor’s installed customer base. In 2012, The Society for Imaging Informatics in Medicine (SIIM) recognized the need for better quality and performance data standards and formed SIIM’s Workflow Initiative for Medicine (SWIM), an initiative designed to consistently describe workflow steps in radiology departments as well as defining operational quality metrics. The SWIM lexicon was published as a working model to describe operational workflow steps and quality measures. We measured the prevalence of the SWIM lexicon workflow steps in both academic and community radiology environments using real-world patient observations and correlated that information with automatically captured workflow steps from our clinical information systems. Our goal was to measure frequency of occurrence of workflow steps identified by the SWIM lexicon in a real-world clinical setting, as well as to correlate how accurately departmental information systems captured patient flow through our health facility.
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Metadaten
Titel
Workflow Lexicons in Healthcare: Validation of the SWIM Lexicon
verfasst von
Chris Meenan
Bradley Erickson
Nancy Knight
Jewel Fossett
Elizabeth Olsen
Prerna Mohod
Joseph Chen
Steve G. Langer
Publikationsdatum
03.01.2017
Verlag
Springer International Publishing
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe 3/2017
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-016-9935-4

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