RSNA 2005 

Abstract Archives of the RSNA, 2005


SSC18-04

The Prioritized Worklist: A Context-specific Decision Support Tool That Improves Radiologist Response Time for Urgent Examinations

Scientific Papers

Presented on November 28, 2005
Presented as part of SSC18: ISP: Radiology Informatics (Working with Images More Efficiently)

Participants

Matthew B Morgan MD, Presenter: Nothing to Disclose
Barton F. Branstetter MD, Abstract Co-Author: Nothing to Disclose
David M. Lionetti BA, Abstract Co-Author: Nothing to Disclose
Paul Joseph Chang MD, Abstract Co-Author: Nothing to Disclose

PURPOSE

In a busy multi-user PACS environment, interpretation of urgent cases may be delayed if the filtering and sorting mechanisms of the radiologist’s worklist are not optimized. The purpose of this study is to determine if the time to interpretation for high-priority studies can be reduced with implementation of a tool that automatically and dynamically prioritizes the radiologist’s worklist.

METHOD AND MATERIALS

The study was conducted at a large university hospital (>1 million studies/year) with active trauma and emergency departments. For the purposes of this study, two groups of examinations were considered “urgent”: (1) examinations performed on patients in the emergency room, and (2) examinations for which a preliminary reading was supplied by either a radiology resident or a clinician. The radiologists’ default worklist is filtered by division and sorted by study time. We developed a software algorithm that dynamically re-prioritizes the worklist such that urgent examinations are sorted to the top of the list and marked as urgent. To assess the impact of this system, we compared the time completion to final interpretation of urgent studies during the 30 days prior to implementation and the 30 days after implementation in the Division of Neuroradiology. Average times were compared using a Mann-Whitney test, and variances in time were compared using an F-test.

RESULTS

After implementation of the dynamically sorted worklist, the average time from study completion to final interpretation decreased from 9.6 to 7.8 hours (p<0.05) for urgent studies (N=520). The standard deviation of these interpretation times decreased from 9.1 hours to 6.3 hours (F statistic = 2.09, F critical = 1.17 at p = 0.05), indicating more consistent quality of service.

CONCLUSION

Automated dynamic sorting of worklists can provide the radiologist with useful decision support for choosing high-priority cases to be dictated first.

DISCLOSURE

M.B.M.,B.F.B.,D.M.L.,P.J.C.: Laboratory support from Stentor, Inc. DARPA NLM NIH US Air Force

Cite This Abstract

Morgan, M, Branstetter, B, Lionetti, D, Chang, P, The Prioritized Worklist: A Context-specific Decision Support Tool That Improves Radiologist Response Time for Urgent Examinations.  Radiological Society of North America 2005 Scientific Assembly and Annual Meeting, November 27 - December 2, 2005 ,Chicago IL. http://archive.rsna.org/2005/4410152.html