‘It is time to prepare the next patient’ real-time prediction of procedure duration in laparoscopic cholecystectomies

‘It is time to prepare the next patient’ real-time prediction of procedure duration in laparoscopic cholecystectomies

Guédon, A.C.P. (TU Delft Medical Instruments & Bio-Inspired Technology)
Paalvast, M.S.M. (TU Delft Education and Student Affairs)
Meeuwsen, F.C. (TU Delft Medical Instruments & Bio-Inspired Technology)
Tax, D.M.J. (TU Delft Pattern Recognition and Bioinformatics)
van Dijke, A.P. (TU Delft Medical Instruments & Bio-Inspired Technology)
Wauben, L.S.G.L. (TU Delft Medical Instruments & Bio-Inspired Technology)
van der Elst, M. (Reinier de Graaf Gasthuis)
Dankelman, J. (TU Delft Medical Instruments & Bio-Inspired Technology)
van den Dobbelsteen, J.J. (TU Delft Medical Instruments & Bio-Inspired Technology)

Education and Student Affairs

2016

Operating Room (OR) scheduling is crucial to allow efficient use of ORs. Currently, the predicted durations of surgical procedures are unreliable and the OR schedulers have to follow the progress of the procedures in order to update the daily planning accordingly. The OR schedulers often acquire the needed information through verbal communication with the OR staff, which causes undesired interruptions of the surgical process. The aim of this study was to develop a system that predicts in real-time the remaining procedure duration and to test this prediction system for reliability and usability in an OR. The prediction system was based on the activation pattern of one single piece of equipment, the electrosurgical device. The prediction system was tested during 21 laparoscopic cholecystectomies, in which the activation of the electrosurgical device was recorded and processed in real-time using pattern recognition methods. The remaining surgical procedure duration was estimated and the optimal timing to prepare the next patient for surgery was communicated to the OR staff. The mean absolute error was smaller for the prediction system (14 min) than for the OR staff (19 min). The OR staff doubted whether the prediction system could take all relevant factors into account but were positive about its potential to shorten waiting times for patients. The prediction system is a promising tool to automatically and objectively predict the remaining procedure duration, and thereby achieve optimal OR scheduling and streamline the patient flow from the nursing department to the OR.

Operating room scheduling
Pattern recognition
Prediction
Procedure duration
Real-time

http://resolver.tudelft.nl/uuid:8f775aec-f466-4d53-9f7c-5baf15d28afb

https://doi.org/10.1007/s10916-016-0631-1

0148-5598

Journal of Medical Systems, 40 (12)

Institutional Repository

journal article

© 2016 A.C.P. Guédon, M.S.M. Paalvast, F.C. Meeuwsen, D.M.J. Tax, A.P. van Dijke, L.S.G.L. Wauben, M. van der Elst, J. Dankelman, J.J. van den Dobbelsteen