Qualification and impact of a video-assisted control system in a chemotherapy compounding unit.

Abstract

Objectives: Anticancer drug preparation control is essential to ensure quality and patient safety. Drugcam (Eurekam Company) is a digital video-assisted control system based on artificial intelligence methods to identify vials used and volumes withdrawn. As for any control system, qualification is required before use in a chemotherapy compounding unit (CCU).

Methods: We conducted an operational qualification (sensitivity, specificity and accuracy assessment of vials and volumes recognition and quantitative analysis of measured volumes) and a performance qualification (comparison with visual control) of Drugcam in our CCU, as well as an impact study on compounding time and compound supply time.

Results: Sensitivity, specificity and accuracy of vials (94%, 98% and 96%, respectively) and volumes (86%, 96% and 91%, respectively) recognition are satisfactory. It depends on both the object presented and the camera tested. False positives, which could lead to release of non-compliant preparation, were detected. Volume reading errors may exceed the tolerance threshold of ±5% for small volumes. Drugcam did not significantly lengthen compounding time and compound supply time.

Conclusions: No recommendations for a qualification method of this new type of control equipment exist. However, a qualification process is essential to understand tool limitations and integrate them into the CCU risk management system. Drugcam enables anticancer drug preparation to be secure and is also useful for initial and continuous staff training.