AI-Enhanced Observability in Distributed Healthcare Systems for Proactive Performance Management

Abstract

Distributed healthcare systems are highly complex because they must ensure reliable, high-performance service across  interconnected digital platforms.Enhanced observability is a promising strategy that addresses the challenge of gaining deep insight into how well digital assets perform. This research paper examines how AI applies to observability frameworks, considering objectives like real-time anomaly detection, resource allocation, and fault resolution; methodologies such as metrics aggregation, visualization, and alerting; and key findings on AI-enhanced systems' role in performance management.Primarily, AI-enhanced observability supports proactive management, responsiveness, reliability, and scalability—yielding measurable results for healthcare stakeholders and digital service users.