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Use of Predictive Modeling to Improve Operating Room Scheduling Efficiency

NCT01892865 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 735

Last updated 2018-01-02

Study results available
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Summary

This study compares two different methodologies of scheduling cases in the operating room.

Conditions

  • Operating Room Scheduling

Interventions

OTHER

Scheduling using historical means

Scheduling will be performed taking into account historical means only for anesthetic, operative, and turn around time

OTHER

Scheduling using regression modeling system

A regression model that uses predictor of operative length will be used to predict operative, anesthetic, and turn around time length

Sponsors & Collaborators

  • VA Office of Research and Development

    lead FED

Principal Investigators

  • Panagiotis Kougias, MD MSc · Michael E. DeBakey VA Medical Center, Houston, TX

  • David H. Berger, MD · Michael E. DeBakey VA Medical Center, Houston, TX

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
QUADRUPLE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2013-08-31
Primary Completion
2015-12-31
Completion
2016-07-31

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01892865 on ClinicalTrials.gov