The Future of Security in Medical Administration: Ai and Machine Learning in Threat Detection

Abstract

The future of security in medical administration is increasingly intertwined with advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML). As healthcare systems digitize and adopt Electronic Health Records (EHRs), telemedicine, and patient management software, the risk of data breaches and cyberattacks escalates. AI and ML present promising solutions for enhancing security by detecting, preventing, and mitigating threats in real-time. This paper explores the integration of AI and ML in healthcare security, examining their role in improving threat detection, streamlining incident response, and safeguarding sensitive patient data. By leveraging AI and ML algorithms, medical administrators can proactively defend against evolving cybersecurity threats, ensuring the safety of both healthcare providers and patients. The use of AI and ML not only strengthens the security posture of healthcare organizations but also helps maintain trust and compliance with regulatory frameworks such as HIPAA and GDPR.