Real-time estimation of surgical procedure duration

التفاصيل البيبلوغرافية
العنوان: Real-time estimation of surgical procedure duration
المؤلفون: Guédon, A.C.P. (author), Paalvast, M. (author), Meeuwsen, F.C. (author), Tax, D.M.J. (author), van Dijke, A.P. (author), Wauben, L.S.G.L. (author), Van Der Elst, M. (author), Dankelman, J. (author), van den Dobbelsteen, J.J. (author)
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE)
سنة النشر: 2015
المجموعة: Delft University of Technology: Institutional Repository
مصطلحات موضوعية: operating room, pattern recognition, planning, procedure duration, support vector machines, workflow
الوصف: Efficiency in the Operating Room (OR) is a topic of growing interest. Planning of care is a crucial element to ensure optimal use of the ORs. Currently, OR scheduling is considered as a complex task based on predictions of surgery duration. The latter are often based on average times, but turn out to be inaccurate in practice because of various factors (such as complexity, patient's characteristics, unexpected events, etc). The aim of this study is to develop a prediction system that estimates in real-time the remaining duration of a surgical procedure. The prediction system was based on monitoring the progress of a procedure by recording the activation of a single piece of equipment in the OR, the electrosurgical device. Support Vector Machines was then used as a classifier to predict the remaining surgical procedure duration and thereby the optimal timing to start preparing the next patient for surgery. The classifier was trained with data on the activation of the electrosurgical device during 55 laparoscopic cholecystectomies. The performance tests showed a mean error rate about 0.2, which means that about 80% of the procedures were classified correctly. The real-time prediction system is a promising tool to improve OR planning and decrease unnecessary patients' waiting times. ; Geudon moet Guédon zijn. Krijg dat niet aangepast via master data; wel als extra naam toegevoegd aldaar. Zij staat gewoon verkeerd in PS. ; Medical Instruments & Bio-Inspired Technology ; Pattern Recognition and Bioinformatics
نوع الوثيقة: conference object
اللغة: English
Relation: http://www.scopus.com/inward/record.url?scp=84966687095&partnerID=8YFLogxK; HealthCom 2015 - 17th International Conference on E-Health Networking, Application and Services--978-1-4673-8325-7; 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015--6c322464-f83d-49c4-b684-37ccbbe0f3d9; http://resolver.tudelft.nl/uuid:7dfe8f89-f915-460c-99a6-8820a7a2632a; https://doi.org/10.1109/HealthCom.2015.7454464
DOI: 10.1109/HealthCom.2015.7454464
الاتاحة: http://resolver.tudelft.nl/uuid:7dfe8f89-f915-460c-99a6-8820a7a2632a
https://doi.org/10.1109/HealthCom.2015.7454464
Rights: Campus only ; © 2015 A.C.P. Guédon, 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
رقم الانضمام: edsbas.244B8ACC
قاعدة البيانات: BASE
الوصف
DOI:10.1109/HealthCom.2015.7454464