Predictive analytics in healthcare cybersecurity: proactive prevention of attacks

The digital revolution in healthcare has created significant cybersecurity vulnerabilities alongside its benefits.This systematic review examines how predictive analytics enhances healthcare cybersecurity and protects patient data.Following PRISMA guidelines, peer-reviewed studies published over the past decade were analyzed.Results reveal that machine learning algorithms detect known and novel threats accurately, while hybrid models demonstrate superior performance with improved precision and reduced false positives.Implementation challenges include resource limitations, system integration difficulties, and regulatory compliance concerns.Despite these challenges, predictive analytics transforms healthcare cybersecurity through improved threat detection, real-time analysis, and proactive response capabilities.By harnessing these technologies, healthcare organizations can proactively address cyber threats, ensuring the integrity and security of healthcare systems.