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.
Keywords: Blockchain, Emergency Systems, e-Health, m-Health, Smart Ambulance.