Data Analytics on Cybersecurity of Healthcare

Abstract

Medical research, operational effectiveness, and patient care have all received a boost because the healthcare industry has embraced digital technologies. But since health information is confidential and cyberattacks are becoming more sophisticated, this digital age has come with severe cybersecurity challenges as well. This study investigates how data analytics can improve medical cybersecurity. Healthcare organizations can actively identify, monitor, and curtail likely cyberattacks using advanced analytics techniques, such as anomaly detection, machine learning, and behavior analysis. To identify breaches and unauthorized access, the study identifies real-time network activity, access patterns, and electronic health records (EHRs) monitoring. The paper also discusses the pitfalls of integrating security analytics with existing health care IT infrastructure, regulatory compliance, such as HIPAA, and data privacy. From the studies, robust data analytics facilitate predictive models for risk assessment and enhance cyber defenses, which in turn lead to healthier IT infrastructures.