Emergency medicine is an incredibly diverse career, and there is no doubt of the multiple functions that a single member of a veteran EMS team will need to be capable of. Artificial intelligence has risen in the past few decades as one of the most essential and confusing areas of research and computer science fields, with thousands studying it a day, progress is rapidly being made. There are multiple studies detailing artificial intelligence's application in emergency medicine as glasses, however there is a heavy need of a full blown utility-based product for an EMS team. Something that acts like a swiss knife, full of utility with the right tool for the right time, but in the context of EMS teams. The main objective of this paper is to describe the functions of an EMS team, complement those functions with different features on a theoretical AI embedded tablet designed just for EMS, and to see whether it is even possible as a whole. This paper will be citing secondary data as its main source of claims. To be able to properly implement such an invention will allow us to solve issues within emergency medicine concerning inefficient communications and dangerous situations quicker. The conclusion of this paper is that applications of artificial intelligence to make the turbulent jobs of EMS any better with inventions should be a paramount mission of researchers in computer science and medicine.

Emergency medicine is an extraordinarily essential service to society, and it is paramount that any way to decrease the workload or stress on first responders should be implemented-and this carries us to the question of artificial intelligence's application. Artificial intelligence is also a relatively new field, with many ins and outs that societies, governments, and judicial systems have not even begun to adapt to yet. The main question for this research paper is how can we leverage artificial intelligence, more specifically live analysis technology, to improve the workload or pressure on EMS, and is it even possible? Solving these current issues will lead to more time provided to patients and less towards reports, less workload for first responders, and immediate communications to law enforcement or the emergency department in a hospital. We will be citing secondary data and statistics in order to complete this study. The conclusion of this research study is that artificial intelligence's application towards EMS is possible and should be implemented as soon as possible, with artificial intelligence providing an incredible amount of live analysis and reports that would not be possible even from a veteran EMS team.

Emergency medicine has always been an adaptive type of job, changing its methods, technologies, and more for the same mission-to save others as fast as possible. This leads us into the introduction of artificial intelligence, there have been countless studies regarding its theoretical application into EMS, but few proposing inventions or methods such as live analysis technology to truly implement artificial intelligence into this field. Artificial intelligence stands to be one of the newest fields of technology, and has such an unknown future that thousands of researchers study it each day to attempt to explain its potential to the general public. The main research question of this paper is if we truly can implement live analysis technology into emergency medicine. Solving this question will allow us to solve current issues within emergency medicine, including overwork, burnout, immediate alerts to law enforcement, and more time and effort placed towards patients instead of documentation. This paper will cite multiple studies, statistics, and secondary data in order to reach its conclusion. The conclusion of this research paper is that artificial intelligence can and should be implemented into emergency medicine as soon as possible and in multiple ways, and that the two proposed inventions can outperform even veteran EMS teams.