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Assessment of hospital surge capacity using the MACSIM simulation system: a pilot study
K Lennquist Montán1,2,3, L Riddez4, S Lennquist5
1Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. lennquist@hotmail.com.
Summary
A simulation model accurately assessed hospital surge capacity (SC) during a disaster. Findings show SC is limited by interconnected hospital functions, not just one, highlighting the need for comprehensive testing.
Area of Science:
- Disaster medicine
- Healthcare management
- Simulation modeling
Background:
- Major incidents challenge hospital surge capacity (SC).
- Accurate SC assessment is crucial for effective disaster response.
- Previous methods may not fully capture dynamic SC limitations.
Purpose of the Study:
- To evaluate a simulation model for assessing hospital surge capacity (SC).
- To test SC in a major hospital using a realistic mass casualty incident scenario.
- To identify capacity-limiting factors in a simulated disaster response.
Main Methods:
- A simulation model using magnetic boards and casualty cards depicted hospital resources, staff, and patients.
- The model incorporated real-time resource consumption and procedural data.
- A scenario based on a real mass casualty incident was used for the simulation.
Main Results:
- The emergency department's resuscitation team capacity was the initial limiting factor, necessitating patient transfers.
- Lack of intensive care unit (ICU) ventilators became the primary long-term SC limitation.
- Significant surgical operating room (OR) capacity remained unused due to ICU limitations.
Conclusions:
- The simulation model is a validated tool for determining hospital surge capacity (SC).
- Hospital SC is a complex interplay of multiple functions, with different factors limiting capacity at various stages.
- Comprehensive, integrated testing is essential for understanding and managing hospital SC during mass casualty incidents.
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