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Systems modeling and simulation applications for critical care medicine
Yue Dong1, Nicolas W Chbat, Ashish Gupta
1Multidisciplinary Epidemiology and Translational Research in Intensive Care, Mayo Clinic, Rochester, MN, USA. gajic.ognjen@mayo.edu.
Annals of Intensive Care
|June 19, 2012
Summary
Modeling and simulation techniques can enhance understanding of critical care delivery and patient physiology. These methods offer opportunities to improve efficiency and effectiveness in critical care medicine.
Area of Science:
- Medical Simulation
- Systems Engineering in Healthcare
- Critical Care Medicine
Background:
- Critical care delivery is a complex, expensive, and error-prone medical specialty.
- Significant efforts are underway to improve healthcare delivery in critical care settings.
- Modeling and simulation techniques offer unique opportunities to understand complex interactions in critical care.
Purpose of the Study:
- To provide an overview of computer-based simulation techniques applied to critical care medicine.
- To illustrate the application of different simulation techniques with examples.
- To identify challenges and opportunities for future research in this area.
Main Methods:
- Overview of major computer-based simulation techniques.
- Application examples including pathophysiological modeling (acute lung injury).
- Application examples including process modeling of critical care delivery.
- Application examples including agent-based modeling for pathophysiology and healthcare delivery interactions.
Main Results:
- Simulation techniques can provide novel insights into clinical physiology and care delivery.
- These insights can inform the development and testing of new treatment strategies.
- Modeling and simulation applications in critical care are currently underutilized.
Conclusions:
- Computer-based modeling and simulation are valuable tools for critical care research.
- Further research is needed to overcome challenges and expand the utilization of these techniques.
- Simulation offers a pathway to more efficient and effective critical care delivery.
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