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http://dx.doi.org/10.5762/KAIS.2013.14.10.4910

Severity-Adjusted LOS Model of AMI patients based on the Korean National Hospital Discharge in-depth Injury Survey Data  

Kim, Won-Joong (Division of Health Policy and Management, Inje University)
Kim, Sung-Soo (Division of Political Science and International Relations, Inje University)
Kim, Eun-Ju (Division of Health Policy and Management, Inje University)
Kang, Sung-Hong (Division of Health Policy and Management, Inje University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.14, no.10, 2013 , pp. 4910-4918 More about this Journal
Abstract
This study aims to design a Severity-Adjusted LOS(Length of Stay) Model in order to efficiently manage LOS of AMI(Acute Myocardial Infarction) patients. We designed a Severity-Adjusted LOS Model with using data-mining methods(multiple regression analysis, decision trees, and neural network) which covered 6,074 AMI patients who showed the diagnosis of I21 from 2004-2009 Korean National Hospital Discharge in-depth Injury Survey. A decision tree model was chosen for the final model that produced superior results. This study discovered that the execution of CABG, status at discharge(alive or dead), comorbidity index, etc. were major factors affecting a Sevirity-Adjustment of LOS of AMI patients. The difference between real LOS and adjusted LOS resulted from hospital location and bed size. The efficient management of LOS of AMI patients requires that we need to perform various activities after identifying differentiating factors. These factors can be specified by applying each hospital's data into this newly designed Severity-Adjusted LOS Model.
Keywords
AMI; Comorbidity Index; Data Mining; Korean National Hospital Discharge in-depth Injury Survey; Severity-Adjusted LOS;
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Times Cited By KSCI : 5  (Citation Analysis)
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