Length of Stay--A Data Analytic Approach

Abstract

The length of stay (LOS) at a hospital of a patient contains important information in health statistics irrespective of the fact whether the patient is insured or not. A longer stay may result in resource restrictions with regard to the availability of beds at hospitals. Some of the determinants of length of stay are the demographic characteristics and hospital characteristics. This paper attempts to model the distribution of and try to explain the variation in LOS through age, gender, and type of disease for the Indian data. The data set used is the insured data submitted by third party administrators.