Empirical Study of a Multi-objective Medical Decision System for Aviation Disaster

摘要

Aviation disasters cause huge loss of lives and properties. Any densely populated and economically viable country inevitably faces the challenge of efficiently and effectively responding to such disasters. This study supports in-time reaction to aviation disasters from the medical point of view: transferring patients to available hospitals to maximize their survival time. This study first assumes a large aircraft crash at the airport and many trauma patients generated in a metropolitan area. Second, we propose a multi-objective model of an emergent medical decision system, able to plan optimal patient transfer from one hospital to another according to various trauma situations to maximize survival time. Trauma patients are classified into three types: the emergent type (Red) to the normal type (Green). Each model objective maximizes survival time for each type of patient. Our model is established on the basis of the multi-objective location-allocation model in operational research; furthermore, the Visual Basic for Application (VBA), Lindo, and Geographic Information System (GIS) are successfully integrated to graphically show simulated results. Our multi-objective medical decision system is valuable as radio frequency identification (RFID) technology matures. Integrating our multi-objective GIS and RFID data from patients will optimally utilize medical resources.