Predicting patient volume in cardiac catheterization laboratory to improve resource management

Using historical data within the Information Warehouse of the Ohio State University Medical Center, prediction on daily patient volume to catheterization laboratory was attempted to facilitate resource management and planning.

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Bibliographic Details
Published in:AMIA ... Annual Symposium proceedings 2008-11, p.1028-1028
Main Authors: Liu, Jianhua, Santangelo, Jennifer, James, Randy, Watters, Coyt D, Orsini, Anthony, Mekhjian, Hagop, Kamal, Jyoti
Format: Article
Language:English
Subjects:
Cardiac Catheterization - utilization
Clinical Laboratory Techniques - utilization
Computer Simulation
Models, Theoretical
Patient Admission - statistics & numerical data
Patients - statistics & numerical data
Resource Allocation - methods
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Description
Summary:Using historical data within the Information Warehouse of the Ohio State University Medical Center, prediction on daily patient volume to catheterization laboratory was attempted to facilitate resource management and planning.
ISSN:1559-4076