Journal article
Comparison of statistical methods to predict the time to complete a series of surgical cases
Journal of clinical monitoring and computing, Vol.15(1), pp.45-51
01/1999
DOI: 10.1023/A:1009999830753
PMID: 12578061
Abstract
We present a statistical model for predicting the time to complete a series of successive, elective surgical cases. The use of sample means of case times and turnover times when scheduling cases does not minimize the operating room labor costs associated with errors in predicting times to complete series of cases. The problem of minimizing associated labor costs (both under and over utilization) can be converted to the problem of least absolute deviation regression. The dependent variables are the times to complete series of cases. The independent variables are the numbers of cases in each series that are in various categories (i.e., combinations of scheduled procedures and surgeons). Although the computational method is preferred on theoretical grounds to that involving sample means, application of both methods shows that the more practical method is to use the sample means of previous case times and turnovers.
Details
- Title: Subtitle
- Comparison of statistical methods to predict the time to complete a series of surgical cases
- Creators
- Franklin Dexter - Department of Anesthesia, University of Iowa, Iowa City, IA 52242, USA. franklin-dexter@uiowa.eduRodney D TraubFang Qian
- Resource Type
- Journal article
- Publication Details
- Journal of clinical monitoring and computing, Vol.15(1), pp.45-51
- DOI
- 10.1023/A:1009999830753
- PMID
- 12578061
- NLM abbreviation
- J Clin Monit Comput
- ISSN
- 1387-1307
- eISSN
- 1573-2614
- Publisher
- Netherlands
- Language
- English
- Date published
- 01/1999
- Academic Unit
- Preventive and Community Dentistry; Health Management and Policy; Anesthesia; Dental Research
- Record Identifier
- 9983806277102771
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