Published Paper Details:

The era of technology has brought a variety of approaches that aim to improve the quality of service. This has changed from the traditional scopes of practice to a technically superior age where the machine plays a critical part in society. This has also raised competitiveness since every faction is obsessed with being the best, providing the best quality of service, and appealing to several intricate domains. These systems have a way to ensure data and information are safeguarded by firewalls that encrypt the data preventing any leakage or breaking the confidentiality between two individuals bound by an agreement of privilege and trust. However, these systems can be hacked or information sullied by cyber terrorists. These crimes have egregious implications and pose ethical dilemmas since crucial personal data is no longer covertly preserved. Some of these implications can prove to be detrimental for several actors. For instance, if critical personal records and history are leaked or shared between or among individuals who do not have the authority or jurisdiction to do so, this is considered a cyber-crime. As such, the law is allowed to prosecute and charge that individual. This paper aims to identify the underpinning factors that promote Data Science in Healthcare and provision. It highlights the study's relevance today and how we can relate to the changing scope of Medicine. It then outlines the significance of the research and use of Data Sciences in the United States. Through a variety of literature on the subject, this paper outlines how Artificial Intelligence functions in the 21st Century and how it has revolutionized the practice of practically every single relevant field and or sector. The main points discussed are the changing scope and practice of health, the utility of Artificial Intelligence and adoption of Data Science in Healthcare, and the significance to the U.S.