Long-term evaluation of a web-based quality control management system (QATrack+) in diagnostic radiology

Routine quality control (QC) in diagnostic radiology is essential for maintaining image quality, supporting dose optimization, and ensuring equipment reliability. However, QC documentation is often fragmented across spreadsheets, paper logs, and vendor-generated files, limiting traceability and audit readiness. QATrack+, an open-source web-based QA/QC management platform, offers a centralized and structured approach to QC governance. This study evaluated the long-term feasibility and sustainability of QATrack+ as a centralized, traceable platform for routine QC management in a single-center diagnostic radiology department.

A retrospective observational quality-improvement evaluation was conducted over a 60-month period (February 2021 to January 2026). Three imaging units configured in QATrack+ were included: computed tomography (CT), magnetic resonance imaging (MRI), and digital radiography (XR). Monthly aggregated indicators were analyzed, including QC workload and tolerance compliance (tests completed and pass rate), operational continuity (planned hours, downtime, and availability), maintenance activity, and clinical workload (exam volume).

A total of 3376 QC test entries were recorded during the study period, corresponding to a mean of 56.3 tests per month. Overall QC tolerance compliance was high, with a weighted mean pass rate of 97.49% (range: 95.70%-98.86%). Operational continuity remained stable across 46,800 planned clinical hours, with 1859.7 h of downtime and an overall planned-hours-weighted availability of 96.03%. In total, 218 maintenance events were documented. Clinical activity remained sustained, with 8235 examinations performed across CT, MRI, and XR throughout the evaluation period.

Over five years, QATrack+ supported a centralized, traceable, and auditable QC workflow with consistently high tolerance compliance and stable equipment availability in a high-volume diagnostic imaging setting. These findings suggest that QATrack+ is a practical and scalable platform for QC governance in radiology and provides a strong foundation for future automation, integration, and continuous quality improvement.

Routine checks of imaging equipment help ensure that scans are accurate and safe, but records are often scattered and hard to track. This study looked at a digital system used to manage these checks over five years in one hospital. This study found that the system kept records in one place, supported high success rates for checks, and maintained stable equipment use. This matters because better tracking can improve safety, save time, and support reliable care for patients.