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Radiological mass casualty incident (MCI) workflow analysis: single-centre data of a mid-scale exercise
Fabian G Mueck1, Kathrin Wirth1, Maximilian Muggenthaler1
11 Department of Clinical Radiology, LMU Hospital of the University of Munich, Munich, Germany.
Radiological workflow analysis during a mass casualty incident shows CT scanners can serve up to six patients per hour. However, image availability at endpoints was delayed, requiring workflow optimization for faster patient care.
Area of Science:
- Medical imaging
- Radiology
- Emergency medicine
Background:
- Mass casualty incidents (MCIs) present unique challenges for healthcare systems.
- Efficient radiological workflow is critical for timely patient management during MCIs.
Purpose of the Study:
- To analyze and interpret radiological workflow data from a simulated mass casualty incident.
- To identify bottlenecks and evaluate the efficiency of CT scanning processes in an MCI setting.
Main Methods:
- A mid-scale MCI exercise was conducted, involving 11 simulated trauma cases.
- Two multislice CT scanners were utilized to simulate realistic workflow and service chain processes.
- Key time intervals for CT acquisition, image transfer, and archiving were meticulously measured.
Main Results:
- Average CT in-room time was 9.43 minutes, with a pure scan time of 4.22 minutes.
- Initial image availability at a dedicated workstation was 5.85 minutes, and institution-wide via PACS was 7.85 minutes.
- The complete PACS archiving process extended to 20.85 minutes, indicating a significant delay.
Conclusions:
- CT scanners can potentially manage up to six patients per hour using standard polytrauma protocols.
- Dedicated CT triage protocols may further enhance patient throughput.
- Significant delays in image availability at endpoints necessitate workflow improvements to ensure timely diagnosis and treatment.
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