A Conceptual Framework For Lifecycle-Driven Maintenance Operations In Medical Imaging

Abstract

The growing complexity, cost, and criticality of medical imaging systems in contemporary healthcare necessitate new strategies are needed to ensure reliability, availability, and efficiency, as regular maintenance, typically reactive or schedule-based, can result in increased downtime, costly operations, and faulty diagnoses. To overcome such challenges, this article develops a conceptual framework of lifecycle-driven maintenance operations in medical imaging by incorporating the principles of asset lifecycle management and healthcare-specific operational requirements. The framework focuses on a proactive and predictive methodology that aligns maintenance operations with the various phases of the equipment lifecycle - procurement, installation, operation, and decommissioning. It relies on real-time monitoring, data analytics and predictive modeling to optimize system performance and minimize service interruptions. The framework also highlights the significance of regulatory compliance, safety standards and cost-effectiveness as requirements within the maintenance decision-making process. The lifecycle-driven approach will enable healthcare organizations to extend equipment longevity, enhance patient safety, and improve total cost of ownership. This model also supports a more efficient allocation of resources and strategic planning at both technical and organizational levels. Ultimately, this lifecycle-based paradigm can do more than just boost operational resilience; it can also help healthcare providers offer precise, timely, and continuous diagnostic services. The proposed conceptual framework provides a platform to guide future empirical studies and practical applications and enables more sus