Literature DB >> 19734469

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

Paul G Nagy1, Max J Warnock, Mark Daly, Christopher Toland, Christopher D Meenan, Reuben S Mezrich.   

Abstract

Radiology departments today are faced with many challenges to improve operational efficiency, performance, and quality. Many organizations rely on antiquated, paper-based methods to review their historical performance and understand their operations. With increased workloads, geographically dispersed image acquisition and reading sites, and rapidly changing technologies, this approach is increasingly untenable. A Web-based dashboard was constructed to automate the extraction, processing, and display of indicators and thereby provide useful and current data for twice-monthly departmental operational meetings. The feasibility of extracting specific metrics from clinical information systems was evaluated as part of a longer-term effort to build a radiology business intelligence architecture. Operational data were extracted from clinical information systems and stored in a centralized data warehouse. Higher-level analytics were performed on the centralized data, a process that generated indicators in a dynamic Web-based graphical environment that proved valuable in discussion and root cause analysis. Results aggregated over a 24-month period since implementation suggest that this operational business intelligence reporting system has provided significant data for driving more effective management decisions to improve productivity, performance, and quality of service in the department.

Mesh:

Year:  2009        PMID: 19734469     DOI: 10.1148/rg.297095701

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  17 in total

1.  The role of informatics in health care reform.

Authors:  Yueyi I Liu; Daniel L Rubin
Journal:  Acad Radiol       Date:  2012-07-06       Impact factor: 3.173

2.  Has the Picture Archiving and Communication System (PACS) become a commodity?

Authors:  James Chen; John Bradshaw; Paul Nagy
Journal:  J Digit Imaging       Date:  2011-02       Impact factor: 4.056

3.  Notification System to Address PACS Filter Deficiencies and Ensure Timely Interpretation of Neonatal Exams.

Authors:  Ross Filice
Journal:  J Digit Imaging       Date:  2016-08       Impact factor: 4.056

4.  Building blocks for a clinical imaging informatics environment.

Authors:  Marc D Kohli; Max Warnock; Mark Daly; Christopher Toland; Chris Meenan; Paul G Nagy
Journal:  J Digit Imaging       Date:  2014-04       Impact factor: 4.056

5.  Is there an association between radiologist turnaround time of emergency department abdominal CT studies and radiologic report quality?

Authors:  Andrew B Rosenkrantz; John A Bonavita; Mark P Foran; Brent W Matza; John M McMenamy
Journal:  Emerg Radiol       Date:  2013-10-03

6.  Development of data integration and visualization tools for the Department of Radiology to display operational and strategic metrics.

Authors:  Santiago Romero-Brufau; Petro Kostandy; Kayse Lee Maass; Phichet Wutthisirisart; Mustafa Sir; Brian Bartholmai; Mickael Stuve; Kalyan Pasupathy
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

Review 7.  ETL Framework for Real-Time Business Intelligence over Medical Imaging Repositories.

Authors:  Tiago Marques Godinho; Rui Lebre; João Rafael Almeida; Carlos Costa
Journal:  J Digit Imaging       Date:  2019-10       Impact factor: 4.056

8.  Sensor-based architecture for medical imaging workflow analysis.

Authors:  Luís A Bastião Silva; Samuel Campos; Carlos Costa; José Luis Oliveira
Journal:  J Med Syst       Date:  2014-06-24       Impact factor: 4.460

9.  From Information Management to Information Visualization: Development of Radiology Dashboards.

Authors:  Mahtab Karami; Reza Safdari
Journal:  Appl Clin Inform       Date:  2016-05-11       Impact factor: 2.342

10.  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

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