Fuzzy Approach to Patient Emergency Routing: Rescuing Patients from the Abyss of Uncertainty

The study examines how well the routing system based on logic performs using both simulations and real life situations. It shows that the system is effective in improving emergency patient transportation and reducing response times. By using membership functions and fuzzy inference the system can. Direct patients to the suitable healthcare facility. It handles imprecise and unclear inputs better through variables and fuzzy rules resulting in accurate and responsive routing decisions.By incorporating logic this approach takes into account the uncertainties and complexities in emergency scenarios, such as location, medical condition severity and real time traffic conditions.Routing emergency patients is crucial for optimizing healthcare services to ensure efficient care delivery. The study assesses how well the routing system based on logic performs through simulations and real world situations demonstrating its effectiveness, in optimizing emergency patient transportation while minimizing response times.The Patient Routing Application is an innovative solution designed to streamline the process of providing emergency medical assistance to individuals based on their health conditions and geographical location. Leveraging a combination of fuzzy logic, geospatial data, and real-time mapping, the system evaluates a patient’s vital signs and recommends the nearest and most accessible hospitals.The software uses logic to evaluate how critical a patients condition is,Take into account factors, like heart rate, blood pressure and temparature. The fuzzy logic system utilizes predefined rules to categorize the severity and prescribe appropriate medical responses. Patient data, including personal information and medical history, is collected through a user-friendly graphical interface.