Securing the Future: A Comprehensive Review of AI in Healthcare Cybersecurity and Information Access

Abstract

When AI is incorporated in health sectors; it evolved as a revolutionary innovation and new and massive cyber-security issues. As application of AI gains traction there is always the need to safeguard such health information from disclosure. Primary, this article is concentrated mostly on the connection between AI and healthcare cybersecurity and data protection with the additional emphasis made on the need for improving security to safeguard patient and medical applications. Discussions include AI for predictive threat and risk analysis of systems, smart access control, and security of medical devices and integration of block chain with AI. This article also discusses other types of guidelines for the use of AI in health services including HIPAA and GDPR then the ethical concerns on transparency, fairness and sample bias in algorithms. While attempting to address these challenges affecting healthcare organizations, other options like consumption of AI automation, utilization of AI protective tools, and block chain could help in the enhancement of the stability of the system and protection of data. However, it remains unclear how these requirements can be met while addressing new technologies and ethical and legal perspectives of their application. Altogether, the protection of healthcare cybersecurity in the future will employ the integration of using AI technology and also making consideration of the patients’ data privacy, the fast reception of AI technology, and the ethical use of AI in health establishments. For that, AI could help to improve both the security and productivity of the healthcare systems by promoting the innovation more and addressing new challenges in cyber space and/or new moral dilemmas.