Radiological mass casualty incident (MCI) workflow analysis: single-centre data of a mid-scale exercise

Mueck, Fabian G.; Wirth, Kathrin; Muggenthaler, Maximilian; Kreimeier, Uwe; Geyer, Lucas; Kanz, Karl-Georg; Linsenmaier, Ulrich und Wirth, Stefan (2016): Radiological mass casualty incident (MCI) workflow analysis: single-centre data of a mid-scale exercise. In: British Journal of Radiology, Bd. 89, Nr. 1061, 20150918

Abstract

Objective: The aim of the study was to analyse and interpret radiological mass casualty incident workflow data. Methods: In a mid-scale mass casualty incident exercise, the on-site triage assigned 12 cases to the investigated institution (11 included in the study). Two out of five institutionalmultislice-CT-scanners were used and the whole CT workflow and radiological service process chain were simulated as close to realistic as possible. The respective time intervals for reaching defined milestones were measured. Results: The average CT in-room time, i.e. from entering to leaving the CT room was 9.43 min [(standard deviation) SD: 2.27 min;95% (confidence interval) CI: 7.90-10.95 min]. Time spent on CT table was 6.75 min (SD: 1.67;CI: 5.63-7.87), and the pure scan time was 4.22 min (SD: 0.64;CI: 3.79-4.65). The first images after entering the CT room were available at a dedicated CT workstation after 5.85 min (SD: 2.20;CI: 4.37-7.32) and institution wide via picture archiving system (PACS) after 7.85 min (SD: 1.27;CI: 7.00-8.71). However, the PACS archiving process, that is, transfer of standard reconstruction set of CT images into the PACS was finished after 20.85 min (SD: 2.97;CI: 18.85-22.84). Conclusion: Up to six patients may be served per hour and per CT scanner by using a standard whole body CT polytrauma protocol. Dedicated CT triage protocols may even increase this number. The time portion until images were available at end points was relatively long. A solution has to be developed in order to avoid scenarios of patients being faster at end points than their images.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 0007-1285
• Sprache: Englisch