Use of Predictive Modeling to Improve Operating Room Scheduling Efficiency (NCT01892865) | Clinical Trial Compass
CompletedNot Applicable
Use of Predictive Modeling to Improve Operating Room Scheduling Efficiency
United States735 participantsStarted 2013-08
Plain-language summary
This study compares two different methodologies of scheduling cases in the operating room.
Who can participate
SexALL
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Inclusion Criteria:
* The only requirement for including a day in the study will be that all the procedures performed in that specific day have been previously performed in our hospital at least 5 times a year for each of the last three years. This rule will encompass the vast majority of the performed vascular procedures in our facility. Setting the threshold at a minimum of 5 cases per year is essential to assure that some data will be available to calculate the expected length of the case with either the traditional or the predictive modeling system. If a case is performed in a day when the scheduling imprecision is supposed to be calculated using the PMS but modeling data do not exist, then the anticipated length of this case will be calculated using the historic means.
* Surgery cancellation after the first case will not disqualify that day from inclusion in the study. If the cancellation occurs in the last case of the sequence for the specific day then no particular intervention will be taken. The anticipated end of the surgical day will reset to the end of the last case that took place, and all the imprecision calculations will be performed as described below. If the cancellation occurs in one of the intermediate cases, then the end of the operative day will reset to reflect the removal of the cancelled case.
Exclusion Criteria:
A day will be excluded from the study when any of the following occur (based on historical data the investigators anticipate 10-15% of the …
What they're measuring
1
Difference Between the Actual and Predicted Length of Operative Day (in Minutes)