Transforming Regulatory Linac Inspections Via a Centralized, Hybrid Governance Model for Multi-Site Health Systems
Abstract
Purpose
Regulatory inspections for multi-site radiation oncology programs are traditionally resource-intensive, requiring approximately 1.0 hour/linac of on-site review. This study quantifies the impact of a centralized, cloud-based governance model designed to separate data auditing from physical site access, thereby optimizing regulatory throughput and minimizing clinical disruption
Methods
A standardized regulatory-mapping framework was developed using a cloud-based QA platform (Total QA, ImageOwl) to centralize key inspection documents, including PMI reports, TG-51 calibration reports, IROC results, and personnel licensure. A strict data governance protocol was enforced using standardized metadata tagging (Site/Machine/Document Type) and version control (v1.0) to enable inspector navigation without physicist intervention. A dedicated, read-only “Inspector Account” was provided for asynchronous remote review 14 days prior to site visits. On-site time was strategically limited to physical safety verification (interlocks, audio/visual checks) and review of legacy records not yet digitally integrated.
Results
Implementation of the centralized hybrid model resulted in a 75% reduction in on-site review time, decreasing inspection duration from approximately 2.0 hours to 30 minutes per dual-linac facility. This shift enabled a 33% increase in daily inspection capacity, allowing audits of four facilities (eight linacs) within a single business day. Standardized 2-hour scheduling blocks, inclusive of safety walkthroughs, ensured zero schedule overruns, uninterrupted patient treatments, and no documentation-related citations across the system.
Conclusion
This framework transitions regulatory readiness from a reactive, site-specific event to a centralized, scalable inspection process. By front-loading the audit phase and standardizing documentation governance, health systems can significantly reduce administrative burden on clinical physicists while maintaining 100% compliance integrity. The model is immediately reproducible and offers a practical roadmap for inspection management in large, consolidated radiation oncology programs.