Algorithmic State Machine Design for Timely Health Emergency Management in an IoT Environment

In emergency cases related to massive accidents, environme ntal disasters, and war time, health professionals face considerable challenges due to the high number of patie nts who are in need of emergency treatment. Research works attempt to propose effective in-hospital an d pre-hospital smart emergency systems to reduce the mortality rate among the patients who desperately wait t o receive appropriate care. This paper presents a model of a timely prehospital emergency management system that can be implemented as an interface to an Internet of Things (IoT) environment. This work presents the necessary stages for prehospital emergency environments, where many factors may make the timely manage ment of emergency systems very difficult. The proposed model is based on an Algorithmic State Machine ( ASM) that can be implemented in either hardware or software, providing an embedded system interfa c for IoT. Moreover, this paper provides a timing analysis for either a single emergency event or multiple sim ultaneous emergency events. Embedded systems’ developers can use the proposed model to produce an appropri ate ehospital smart emergency solution.