Impact of Digitalizing Healthcare Business Operations on Cybersecurity Landscape

Abstract

The technological evolution and digitalization of business operations contributed to healthcare organizations' constantly changing cybersecurity landscape. It is compulsory and mandated by the covered entities to fully comply with the industry regulatory standards, procedures, laws, and guidelines. The compliance officer must pay attention to the change in the business operations and the laws governing the organization's business operation. Developing an automated cybersecurity team that will track the change in the cybersecurity landscape of healthcare businesses as the business operations move toward digitalization and adoption of artificial intelligence-driven solutions. Adopting AI as a defensive measure requires an organization to monitor and assess the patent application landscape before deploying any AI intellectual property for its risk mitigation strategy or infrastructure protection. The security team must ensure that the usage of AI at the organization complies with the US federal and state antitrust laws. The organization's security team will implement control to identify data retention limits and regulate and permit the use of personally identifiable information within the organization. The enforcement will be via an organization's processes, functions, or approved mechanisms. The security team will implement binding techniques to strengthen the information flow enforcement process. This paper will elaborate on the binding technique that will regulate the number of users accessing the organization's resources or information. Keywords: Digitalization, Artificial Intelligence, Controls, Compliance, Rule & Regulation. Journal Reference Format: Yamcharoen P., Folorunsho O.S., Bayewu A. & Ojo T.P. (2022): Impact of Digitalizing Healthcare Business Operations on Cybersecurity Landscape. Journal of Behavioural Informatics, Digital Humanities and Development Research. Vol. 8.No. 4, Pp 27-34. Available online at https://www.isteams.net/behavioralinformaticsjournal. dx.doi.org/10.22624/AIMS/BHI/V8N4P3