A RFID model of transferring and tracking trauma patients after a large disaster

Disaster management is always an important issue of international studies. A large disaster always generates numerous trauma patients in a very short time. Thus, how to ship these patients to appropriate hospitals in time so as to save their lives is an important issue. This study uses the GIS interface to construct a medical decision support system for Kaoshung city, in which the available medical recourses are dynamically updated by RFID system. The goal of this system is optimizing the shipment of patients by minimizing the transportation and operation time by dynamic programming. This model achieves a small success with an example of two hospitals so far, which is executed by a server-client framework by integrating GIS, VBA and RFID altogether. The prototype model will be extended for practical uses for Kaoshung city of Taiwan in the very near future. Decision maker is able to simulate the exercise performance in this system.