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

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.

[1]  S E Seltzer,et al.  Expediting the turnaround of radiology reports in a teaching hospital setting. , 1997, AJR. American journal of roentgenology.

[2]  S E Seltzer,et al.  Expediting the turnaround of radiology reports: use of total quality management to facilitate radiologists' report signing. , 1994, AJR. American journal of roentgenology.

[3]  S E Seltzer,et al.  Radiology quality and performance metrics on the Web: a management information and communications tool. , 2000, Academic radiology.

[4]  Paul G Nagy,et al.  Quality control management and communication between radiologists and technologists. , 2008, Journal of the American College of Radiology : JACR.

[5]  Pablo R Ros,et al.  Practice management performance indicators in academic radiology departments. , 2004, Radiology.

[6]  C Craig Blackmore,et al.  Defining quality in radiology. , 2007, Journal of the American College of Radiology : JACR.

[7]  R L Arenson,et al.  Comprehensive analysis of a Radiology Operations Management computer system. , 1979, Radiology.

[8]  S. Swensen,et al.  Radiologic quality and safety: mapping value into radiology. , 2005, Journal of the American College of Radiology : JACR.

[9]  Paul G Nagy,et al.  PACSPulse: a web-based DICOM network traffic monitor and analysis tool. , 2003, Radiographics : a review publication of the Radiological Society of North America, Inc.

[10]  Pablo R Ros,et al.  Survey of the use of quality indicators in academic radiology departments. , 2006, AJR. American journal of roentgenology.

[11]  J P Crabbe,et al.  Improving report turnaround time: an integrated method using data from a radiology information system. , 1994, AJR. American journal of roentgenology.