Predicting patient volume in cardiac catheterization laboratory to improve resource management

Autor:	Jianhua, Liu, Jennifer, Santangelo, Randy, James, Coyt D, Watters, Anthony, Orsini, Hagop, Mekhjian, Jyoti, Kamal
Rok vydání:	2008
Předmět:	Cardiac Catheterization Patient Admission Patients Clinical Laboratory Techniques Computer Simulation Models Theoretical Resource Allocation
Zdroj:	AMIA ... Annual Symposium proceedings. AMIA Symposium.
ISSN:	1942-597X
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=pmid________::3273cf22582f6cf052aa11fdf411a9a5 https://pubmed.ncbi.nlm.nih.gov/18998829 Zobrazit plný text záznamu