Clinical Safety Reliability Framework for Healthcare Cloud Systems

Abstract

Healthcare cloud systems require dedicated reliability structures to address the asymmetric relationship between technical failures and patient safety outcomes. Conventional Site Reliability Engineering designs use standard operational measurements that do not effectively deal with clinical risk, leaving governance loopholes in which systems can deliver on their availability requirements but cause unacceptable potential patient damage. Clinical Safety Reliability is a domain-specific reliability framework that treats reliability as a clinical safety property rather than an operational objective. The framework proposes a Clinical Impact Layer that regulates the interpretation of reliability with the use of criticality levels, differentiating between life-critical systems and care continuity and operational support infrastructure. Safety-Weighted Service Level Indicators enhance traditional measures with time-to-harm measurement, clinical dependency measurement, and human intervention feasibility measurement. Safety-Driven Service Level Objectives are based on the reliability goals of clinical risk tolerance instead of platform and performance averages, and are characterized by asymmetric commitments that focus on the safety of the patients more than the efficiency of the infrastructure. Failure Isolation Mandates establish hard containment boundaries for safety-critical services through explicit failure domains and dependency isolation procedures. The framework is demonstrated through applied architectural scenarios involving clinical APIs and electronic health record systems, showing how the framework can be used to deal with silent failure propagation, partial degradation events, and asymmetric risk profiles between read and write operations, offering a structured governance of healthcare-grade cloud environments.