AI in Healthcare Safeguarding Patient Privacy and Confidentiality

Abstract

In the era of digitization, Artificial Intelligence (AI) integration in healthcare has become a necessity to ensure patient identification & privacy. With the rise of digitalisation in health systems, it has also become increasingly important to have more stringent data protection requirements. This transformation is heavily facilitated by AI-driven technologies that reinforce data security, identify real-time threats and streamline compliance with regulations. By utilizing Machine Learning (ML) algorithms to comb through big data, outliers can be pinpointed and filtered out so that unauthorized access is prevented with the assistance of advanced forms of encryption which protect information while in transit or at rest. But the fast pace of AI development creates as many opportunities as challenges, especially when it comes to marrying data availability and privacy. These ethical concerns, and the necessity for more effective regulatory frameworks, are critical in an evolving ecosystem of AI technologies.

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