At a glance
ClinicalIndex Comparison RecordN/ACompleted· 735 enrolled
Drug / intervention
Scheduling using historical means +1 moreother
Likely dose
Not stated in record
Key inclusion· 2
- ✓All procedures performed on a study day must have been performed at least 5 times per year in the hospital for each of the last three years.
- ✓Surgery cancellation after the first case does not disqualify the day; cancellations are managed by resetting the anticipated end time and recalculating precision metrics.
Key exclusion· 5
- ✕Days with only one or no cases scheduled.
- ✕Days when an emergency case is added as the first case or between scheduled cases.
- ✕Days falling during major holiday weeks (Thanksgiving, Christmas, New Year).
- ✕Days with unusual cases that do not meet the minimum requirement of 5 previous operations annually for three years.
Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.
Use of Predictive Modeling to Improve Operating Room Scheduling Efficiency
In Brief
A clinical study evaluating Scheduling using historical means and Scheduling using regression modeling system for Operating Room Scheduling. Completed, enrolled 735 participants across 1 site.
Detailed Summary
This study compares two different methodologies of scheduling cases in the operating room.
Study Details
Study Typeinterventional
Allocation--
Masking--
Primary Purpose--
ConditionsOperating Room Scheduling
CountriesUnited States
Collaborators--
Timeline
N/ACompletedFinished
2014201520162017201820192020202120222023202420252026
First PostedJul 2013
Enrollment StartAug 2013
Primary CompletionDec 2015
Study CompletionJul 2016
TodayJul 2026
First PostedJul 8, 2013
Enrollment StartAug 1, 2013
Primary CompletionDec 1, 2015
Study CompletionJul 1, 2016
TodayJul 2, 2026
Enrollment to primary: 2.3 yearsPosted 13.0 years ago
Interventions
Scheduling using historical meansother
Scheduling will be performed taking into account historical means only for anesthetic, operative, and turn around time
Scheduling using regression modeling systemother
A regression model that uses predictor of operative length will be used to predict operative, anesthetic, and turn around time length