Literature DB >> 26957292

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

Stephen Jones1, Seán Cournane2, Niall Sheehy2, Lucy Hederman3.   

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.

Entities:  

Keywords:  Analytics; Business analytics; Business intelligence; Decision support; Digital dashboard; OLAP; Operational efficiencies; Predictive analysis; Waiting lists

Mesh:

Year:  2016        PMID: 26957292      PMCID: PMC5114222          DOI: 10.1007/s10278-016-9871-3

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


  14 in total

1.  Mobile technology in radiology resident education.

Authors:  Aiham C Korbage; Harprit S Bedi
Journal:  J Am Coll Radiol       Date:  2012-06       Impact factor: 5.532

2.  The radiology digital dashboard: effects on report turnaround time.

Authors:  Matthew B Morgan; Barton F Branstetter; David M Lionetti; Jeremy S Richardson; Paul J Chang
Journal:  J Digit Imaging       Date:  2007-03-03       Impact factor: 4.056

3.  Management of MRI wait lists in Canada.

Authors:  Derek J Emery; Alan J Forster; Kaveh G Shojania; Stephanie Magnan; Michelle Tubman; Thomas E Feasby
Journal:  Healthc Policy       Date:  2009-02

4.  Business intelligence tools for radiology: creating a prototype model using open-source tools.

Authors:  Luciano M Prevedello; Katherine P Andriole; Richard Hanson; Pauline Kelly; Ramin Khorasani
Journal:  J Digit Imaging       Date:  2008-11-15       Impact factor: 4.056

5.  A multivariate time series approach to modeling and forecasting demand in the emergency department.

Authors:  Spencer S Jones; R Scott Evans; Todd L Allen; Alun Thomas; Peter J Haug; Shari J Welch; Gregory L Snow
Journal:  J Biomed Inform       Date:  2008-05-17       Impact factor: 6.317

6.  Informatics in radiology: automated Web-based graphical dashboard for radiology operational business intelligence.

Authors:  Paul G Nagy; Max J Warnock; Mark Daly; Christopher Toland; Christopher D Meenan; Reuben S Mezrich
Journal:  Radiographics       Date:  2009-09-04       Impact factor: 5.333

7.  Utilization of dashboard technology in academic radiology departments: results of a national survey.

Authors:  Bahar Mansoori; Ronald D Novak; Carlos J Sivit; Pablo R Ros
Journal:  J Am Coll Radiol       Date:  2013-04       Impact factor: 5.532

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

Authors:  Stephen Jones; Seán Cournane; Niall Sheehy; Lucy Hederman
Journal:  J Digit Imaging       Date:  2016-12       Impact factor: 4.056

9.  Applications of Business Analytics in Healthcare.

Authors:  Michael J Ward; Keith A Marsolo; Craig M Froehle
Journal:  Bus Horiz       Date:  2014-09

10.  Future trends in the supply and demand for radiation oncology physicists.

Authors:  Michael D Mills; Judah Thornewill; Robert J Esterhay
Journal:  J Appl Clin Med Phys       Date:  2010-04-12       Impact factor: 2.102

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  4 in total

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

Authors:  Stephen Jones; Seán Cournane; Niall Sheehy; Lucy Hederman
Journal:  J Digit Imaging       Date:  2016-12       Impact factor: 4.056

Review 2.  The Enterprise Imaging Value Proposition.

Authors:  Cheryl A Petersilge
Journal:  J Digit Imaging       Date:  2020-02       Impact factor: 4.056

Review 3.  A Foundation for Enterprise Imaging: HIMSS-SIIM Collaborative White Paper.

Authors:  Christopher J Roth; Louis M Lannum; Kenneth R Persons
Journal:  J Digit Imaging       Date:  2016-10       Impact factor: 4.056

4.  Business intelligence applied to the consumption of iodinated contrast agents in computed tomography scans.

Authors:  José Rodrigo M Andrade; Luciano Costa Blomberg
Journal:  BMC Med Inform Decis Mak       Date:  2022-03-25       Impact factor: 2.796

  4 in total

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