Smart Ambulance for Emergency Cases to be Reported to Hospitals at the Earliest using Deep Learning Algorithms and Blockchain-based Distributed Health Record Transactions for smart Cities

Abstract

The everyday eating habits and lifestyle choices that people make have a significant impact on how long they live on the planet. Ancient people ate food that had an acceptable ratio of fat, vitamins, minerals, and carbohydrates, which helped them live a long life. Nowadays, individuals live shorter lives and experience many crises like heart attacks and mental despair that cause them to drive carelessly and cause accidents. This is due to our current diets of junk food and style of life. For the people and the individuals, this results in a tremendous loss. Here, saving people's lives depends largely on the passage of time. The extent of the injury or the patient's emergency situation, the amount of traffic that makes it difficult for the ambulance to reach its destination, and the hospital's capacity to accept patients and save lives are just a few of the many factors that affect the time limitations. In the current situation, hospitals are using the available services to meet time restrictions, which correctly route the ambulance. The main disadvantage of this system is that hospitals handle all the data, making it easy to tamper with medical records and risk losing the integrity of the data. The goal of intelligent ambulances is to forecast the shortest amount of time needed to admit the patient to the local hospitals that have the resources to care for them, preventing the need to transfer patients to other hospitals, as well as to determine the most efficient route to the destination. The patient's life can be saved as a result. The aforementioned can be accomplished by using a deep learning algorithm to predict the injury and the time limit to admit the patient to the hospital, matching the injury with the treatment options available in the hospital and mapping the appropriate hospital, as well as by finding the quickest route with the least amount of traffic to get to the destination within the allotted time limit, giving first aid in the ambulance, and handling the data transfer of health records in a secure manner. Therefore, in a smart city, the smart ambulance can quickly save lives.