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

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

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1897-1906
Number of pages10
JournalRadiographics
Volume29
Issue number7
DOIs
StatePublished - Nov 2009
Externally publishedYes

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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