Real-time estimation of surgical procedure duration

A.C.P. Geudon, 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

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)
10 Downloads (Pure)

Abstract

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.

Original languageEnglish
Title of host publicationHealthCom 2015 - 17th International Conference on E-Health Networking, Application and Services
Subtitle of host publication1st International Workshop on IOR
Place of PublicationPiscataway, NJ, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages6-10
ISBN (Print)978-1-4673-8325-7
DOIs
Publication statusPublished - 2015
Event17th International Conference on E-Health Networking, Application and Services, HealthCom 2015 - Boston, United States
Duration: 13 Oct 201517 Oct 2015

Conference

Conference17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
CountryUnited States
CityBoston
Period13/10/1517/10/15

Keywords

  • operating room
  • pattern recognition
  • planning
  • procedure duration
  • support vector machines
  • workflow

Fingerprint Dive into the research topics of 'Real-time estimation of surgical procedure duration'. Together they form a unique fingerprint.

Cite this