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Session: Poster session 2 (Odd numbers)
Session starts: Friday 27 January, 10:00
Presentation starts: 10:00

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Anton Kooijmans (TU Delft)
Maarten van der Elst (Reinier de Graaf, TU Delft)
John van den Dobbelsteen (TU Delft)

Abstract:
Background The operating room (OR) is a dynamic environment where many processes converge. They are complex and often time- and resource-constrained. This complexity compels OR personnel to perform many regular checks, resulting in an administrative burden that is counterproductive to the increasing demand for effectiveness and efficiency of an economic and safe patient care workflow. There is an urgent need for resource optimization and automatization of tasks to support humans as effectively as possible. Systems that automatically count surgical instruments before and after an operation have been developed, with the current state of the art using camera- and weight sensors. In this study, we investigate the reliability of one such system (Ancitrak, ATH Medical, Paris, France) in a real-world OR environment where it may be affected by variations in instrument condition during the procedure. Research question Primary question: What is the effect of instrument orientation and amount of soiling on correct classification? Secondary question: What is an acceptable rate of correct classification according to OR complex personnel? Methods Instrument trays used in TEPPs (Total ExtraPeritoneal Procedure) will be selected for this study. Complete ‘reference trays’ will be registered preoperatively in the Ancitrak system according to its standard procedure in which an image of the tray and its weight will be recorded. The detection performance will be evaluated for instruments arranged according to the reference tray as a control measurement. This will be compared to the performance for instruments that were used in actual procedures. Additionally, process time required for setting up the system, performing scans, etc. will be recorded to evaluate the impact on the workload of the staff. Furthermore, a questionnaire regarding an acceptable Ancitrak performance for implementation will be distributed among OR personnel. Analysis Primary outcome measure is the percentage of correct tray classification. Data will be analyzed using McNemar’s test. Complete tray data will be further analyzed using repeated measurements ANOVA.