Start Date
16-8-2018 12:00 AM
Description
In general, there are two kinds of modeling methods to study the behavior of a real-world system, physical or logical. Examples of such systems are hospitals, airports, traffic networks, banks, and manufacturing facilities. Researchers use simulation modeling in situations where experiments are not possible because either the process does not exist nor is cost-effective (i.e., it is too expensive) to perform in a real-world setting (Pérez et al. 2017). While in some cases, traditional mathematical methods such as queuing theory, differential equations, and linear programming have been and can be used, introducing real-world complexity and randomness encountered in healthcare with such methods are inadequate, these methods cannot represent the system by just deriving an analytical model (Pérez et al. 2017). These cases, such as the case with Zika and the healthcare model called for simulation modeling as it is the only method that can handle the complexity found in any real-world setting.
Recommended Citation
Popova Zhuhadar, Lily, "Healthcare Analytical System to Predict Necessary Resources in Case of Crises" (2018). AMCIS 2018 Proceedings. 15.
https://aisel.aisnet.org/amcis2018/TREOsPDS/Presentations/15
Healthcare Analytical System to Predict Necessary Resources in Case of Crises
In general, there are two kinds of modeling methods to study the behavior of a real-world system, physical or logical. Examples of such systems are hospitals, airports, traffic networks, banks, and manufacturing facilities. Researchers use simulation modeling in situations where experiments are not possible because either the process does not exist nor is cost-effective (i.e., it is too expensive) to perform in a real-world setting (Pérez et al. 2017). While in some cases, traditional mathematical methods such as queuing theory, differential equations, and linear programming have been and can be used, introducing real-world complexity and randomness encountered in healthcare with such methods are inadequate, these methods cannot represent the system by just deriving an analytical model (Pérez et al. 2017). These cases, such as the case with Zika and the healthcare model called for simulation modeling as it is the only method that can handle the complexity found in any real-world setting.