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Resource Allocation P olicies for Minimizing Mortality in Mass Casualty Events ‏

Resource Allocation P olicies for Minimizing Mortality in Mass Casualty Events ‏. Dr. Izack Cohen izik68@Technion.ac.il Prof . Avishai Mandelbaum, Noa Zychlinski MSc. The Faculty of Industrial Engineering and Management The Technion – Israel institution of Technology.

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Resource Allocation P olicies for Minimizing Mortality in Mass Casualty Events ‏

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  1. Resource Allocation Policies for Minimizing Mortality inMass Casualty Events‏ Dr. Izack Cohen izik68@Technion.ac.il Prof. AvishaiMandelbaum, Noa Zychlinski MSc. The Faculty of Industrial Engineering and Management The Technion – Israel institution of Technology

  2. Indian Ocean, 2004 NYC, 2001 Madrid, 2004 Japan, 2011 Turkey, 2011 Rio De Janeiro, 2011 Argentina, 1994 London, 2005 Oklahoma City, 1995

  3. The Main Results • A general, fluid-model based approach, for modeling MCEs. • An MCE classification scheme ,wherein a resource allocation policy is suggested for each class. • A real-time management approach.

  4. Flow of Casualties through an ED during an MCE

  5. Casualties Flow in a Two-Station Network Mortality Mortality To admission and ICU To immediate operation Arriving Immediates (1) Shock Rooms (2) Operation Rooms To admission and ICU

  6. Optimization Problem Casualties at Station Mortality Rate Minimizing Mortality Treatment Rate Arrival Rate Casualties at Station Surgeons at Station Balance Equation for Station 1 Change in Casualties Resource Constraint Balance Equation for Station 2

  7. From Solutions to Policies

  8. Policies Application (b) (a) A dynamic allocation of surgeons to two treatment stations, life-saving followed by operating, so as to minimize mortality during an MCE. (a) Represents an event that took place far from the hospital, hence the arrival waves are 60 minutes apart and (b) represents an event at closer proximity where the arrival waves are 15 minutes apart.

  9. MCE Real-Time Management Optimal resource allocation solutions for different time points 0, 60, 120, 180

  10. Summary • Traditional MCE models are based on simulation experiments. • We used fluid models to formulate the problem and then gained structural results. • The suggested optimal allocation policies can be easily applied to prepare an emergency plan for reference scenarios. • A developed rolling horizon approach allows for real-time management of MCEs.

  11. Acknowledgements • Prof. Avishai Mandelbaum, Mrs. Noa Zychlinski – co-authors • Dr. Michalson Moshe, Medical Director of Trauma teaching center, • Rambam Hospital • Dr. Israelit Shlomi, Chief of ED, Rambam Hospital

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