Big Data Analysis and Simulation as a Measure of the Performance of Hospital in Emergency Situation
Mubarak Banisakher, Van Nguyen and Derek Mohammed (Saint Leo University, USA)
An effective distribution of emergency resources such as, hospital, storage and transportation in a reasonable and equitable manner is very important to achieve post-disaster damages and recovery. Additionally establishing an appropriate relationship between governments, private and academic sectors will lead to better utilization of their capabilities (e.g. national mapping agencies) which allow PDMS to acquire plenty of data from the post-disaster responders. This research has identified a need for new simulation modeling approaches that responds to the changing the information system for the emergency post-disaster management systems by integrating more data available from the huge pile that is conducted during and after disasters to enhance the emergency response time and save efforts. Simulation results demonstrate the effectiveness of the proposed methodology by evaluating data from hospitals using a multi-level index Data collection system.
Journal: International journal of simulation: systems, science & technology V18
Published: Dec 30, 2017