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Published in: Journal of Digital Imaging 6/2016

01-12-2016

A Business Analytics Software Tool for Monitoring and Predicting Radiology Throughput Performance

Authors: Stephen Jones, Seán Cournane, Niall Sheehy, Lucy Hederman

Published in: Journal of Imaging Informatics in Medicine | Issue 6/2016

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Abstract

Business analytics (BA) is increasingly being utilised by radiology departments to analyse and present data. It encompasses statistical analysis, forecasting and predictive modelling and is used as an umbrella term for decision support and business intelligence systems. The primary aim of this study was to determine whether utilising BA technologies could contribute towards improved decision support and resource management within radiology departments. A set of information technology requirements were identified with key stakeholders, and a prototype BA software tool was designed, developed and implemented. A qualitative evaluation of the tool was carried out through a series of semi-structured interviews with key stakeholders. Feedback was collated, and emergent themes were identified. The results indicated that BA software applications can provide visibility of radiology performance data across all time horizons. The study demonstrated that the tool could potentially assist with improving operational efficiencies and management of radiology resources.
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Metadata
Title
A Business Analytics Software Tool for Monitoring and Predicting Radiology Throughput Performance
Authors
Stephen Jones
Seán Cournane
Niall Sheehy
Lucy Hederman
Publication date
01-12-2016
Publisher
Springer International Publishing
Published in
Journal of Imaging Informatics in Medicine / Issue 6/2016
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-016-9871-3

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