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Editorial Comment Review
Case duration prediction and estimating time remaining in ongoing cases.
- Franklin Dexter, Richard H Epstein, and Anil A Marian.
- Department of Anesthesia, University of Iowa, Iowa City, IA, USA. Electronic address: Franklin-Dexter@UIowa.edu.
- Br J Anaesth. 2022 May 1; 128 (5): 751-755.
AbstractIn this issue of the British Journal of Anaesthesia, Jiao and colleagues applied a neural network model for surgical case durations to predict the operating room times remaining for ongoing anaesthetics. We review estimation of case durations before each case starts, showing why their scientific focus is useful. We also describe managerial epidemiology studies of historical data by the scheduled procedure or distinct combinations of scheduled procedures included in each surgical case. Most cases have few or no historical data for the scheduled procedures. Generalizability of observational results such as theirs, and automatic computer assisted clinical and managerial decision-making, are both facilitated by using structured vocabularies when analysing surgical procedures.Copyright © 2022 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.
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