Cybersecurity in Healthcare: Safeguarding Patient Data in the AI Era

Abstract

The rapid adoption of Artificial Intelligence (AI) in healthcare has revolutionized patient care and operational efficiency. However, it has also introduced new cybersecurity risks, particularly concerning the protection of sensitive patient data. This paper explores the challenges and strategies for safeguarding patient data in the AI era. Through an extensive review of literature and analysis of current methodologies, the study identifies critical vulnerabilities and proposes best practices for mitigating risks. The findings emphasize the importance of robust encryption, ethical AI design, and regulatory compliance to protect patient information. This research underscores the need for a comprehensive cybersecurity framework to ensure the safe and sustainable integration of AI in healthcare.