Hospital Log-Linear Analysis
279Suranaree J. Sci. Technol. Vol. 19 No. 4; October - December 2012
LOG-LINEAR RISK RATE MODEL FOR HOSPITAL
SERVICES
Krieng Kitbumrungrat*
Received: August 10, 2012; Revised: January 02, 2013; Accepted: January 03, 2013
Abstract
This paper suggests that log-linear analysis can be used to predict the expected number of patients in hospital services. A log-linear risk rate model has been developed to analyze the time series of count data. In finding a risk rate model, parameters are estimated and goodness-of-fit is utilized to carefully extract the best model to fit the count data. The marginal effect is the basis function which can be used in the risk Rate analysis for flexibility. This study attempted to analyze the actual operations of a hospital and
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E-mail: Kriengstat@yahoo.com
* Corresponding author
Suranaree J. Sci. Technol. 19(4):279-286
Log-Linear Risk Rate Model for Hospital Services
280reasons.
The Admissions Department consists of 4 major areas: front desk, registration desk, waiting area, and financial consulting area
(within the Business Department). When a patient enters the admissions area, they are asked by the front desk clerk to provide his or her name and the reason for the visit. The clerk also clarifies if the patient was pre- registered for this service or not. If the answer is yes, the clerk gets the patient’s documentation ready for the the admissions representative.
Then the patient receives an assigned number and is asked to wait in the waiting area for the admissions representative to call the number.
The admissions representative determines if the patient has ever received services at the hospital and, if so, pulls up the patient’s data from Meditech and verifies the patient’s personal information. If the patient is visiting the hospital for the first time, an admissions clerk creates the patient’s profile in the hospital’s information database system.
Law and Kelton (2001) proposed
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