Abstract
The digitalization of healthcare systems, particularly through Electronic Health Records (EHRs), presents both opportunities and challenges. This chapter delves into the transformative potential of integrating Artificial Intelligence (AI) with advanced cybersecurity measures in EHR systems. The impressive capabilities of AI models in data management, predictive analytics, and automation are explored for their role in enhancing patient outcomes and streamlining healthcare operations. The study addresses critical cybersecurity issues, including data breaches and ransomware, emphasizing the necessity of encryption, multi-factor authentication, and continuous monitoring. It examines how AI-driven threat detection and automated incident response can proactively safeguard sensitive patient data, also highlighting the challenges that may appear in the integration of AI into EHR systems along with addressing the need for robust interoperability standards and comprehensive data governance frameworks to mitigate cyber threats. The discussion extends toward the future vision that includes continuous innovation and strategic investment in AI and cybersecurity to create a more efficient, secure, and patient-centric healthcare environment. This comprehensive analysis highlights the synergistic potential of AI and cybersecurity in revolutionizing EHR systems and enhancing the overall quality of healthcare delivery.
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