Healthcare is pivotal in every countries economy. They are emerging rapidly and most challenging aspect is they need to meet the demands of the patients. Every country spent a huge amount in the healthcare sector to meet the demands. According to a recent report in Forbes, US spends more on healthcare when compared to other countries and almost they spent almost twice as other higher income countries.
Hospitals beds per thousand are one of the key indicators for healthcare sector for any country and these statistical figures are published by Organisation for Economic Co-Operation and Development (OECD). Among these, one of the challenging aspects of hospitals is understanding the patients stay i.e Length of Stay(LOS) in hospitals. Every hospital is interested in predicting the stay of patients since there is a need for proper utilization of beds which needs to be investigated with good care. There are several works in the literature which focuses on LOS in modeling perspective ( Faddy et al - Modeling LOS : Papi et al - A new model for LOS )
Beyond these facts, data needs to be summarised which will provide you the details about the shape of LOS. There is a famous quote that “ Data should speak themselves “ there might be several blog which speaks about these as disclosed by Joseph Ricket & also data analysis in statisticsbyjim. We need to first describe the data using summary measures and consider tools like a histogram. The following paper Fitting LOS in Hospital in which we have explained the nature of LOS and it is observed that they are right-skewed in nature which means they are not symmetric.
Moreover, we have provided the histogram is a better choice for a visual depiction of nature of LOS. For any study, summary measures are key to proceed with fitting or modelling any dataset. It needs to be understood that statistical analysis is required for every medical speciality and they are in great demand. There might be scenarios when we need to build many models irrespective of specialities. The modelling of LOS can be complex when different specialities are considered by a hospital. Interestingly, mixture models can be challenging and one of the paper is by Ickowicz (Modelling LOS using Mixture Models). It is also important to note that statistical analysis is completely surrounded by statistical methods such as fitting, modelling and prediction of LOS. In simple, Statistics is engrossed by the Healthcare administrators and Hospital Management for studying LOS. With the advent of computers, every other application requires Statistical features to enrich the study.
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