title: Predicting patient volume in cardiac catheterization laboratory to improve resource management.
abstract: 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.
authors.affiliation: Information Warehouse, Ohio State University Medical Center, Columbus, Ohio, USA.
authors.forename: Jianhua
authors.initials: J
authors.lastname: Liu
authors.forename: Jennifer
authors.initials: J
authors.lastname: Santangelo
authors.forename: Randy
authors.initials: R
authors.lastname: James
authors.forename: Coyt D
authors.initials: CD
authors.lastname: Watters
authors.forename: Anthony
authors.initials: A
authors.lastname: Orsini
authors.forename: Hagop
authors.initials: H
authors.lastname: Mekhjian
authors.forename: Jyoti
authors.initials: J
authors.lastname: Kamal
mesh_terms: D006328:Cardiac Catheterization / Q000706:statistics & numerical data*; D019411:Clinical Laboratory Techniques / Q000706:statistics & numerical data*; D003198:Computer Simulation; D008962:Models, Theoretical; D010343:Patient Admission / Q000706:statistics & numerical data*; D010361:Patients / Q000706:statistics & numerical data*; D040841:Resource Allocation / Q000379:methods*