Purchase this article with an account.
Paul J Lee; Classification of Ophthalmology Utilization Pattern CMS Data Using K-Means Clustering Algorithm. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):2137.
Download citation file:
© ARVO (1962-2015); The Authors (2016-present)
The purpose of the project is to visually depict the utilization pattern for various procedure codes contained in the CMS data for year 2012 released in 2014. Utilization analysis is a signficant topic in health care due to the rising healthcare cost and the need for resource allocation. In this environment, physicians are being profiled with increasingly sophisticated altgorithms. Advances made in the field of data anlayics can be used to proactively perform such analysis by physicians.
The results demonstrated a two clustered group based on the scree plot. The distribution of the procedure quantity was distributed with a power law distribution with the distribution plot showing significant outliers. THe treatment ratio demonstrated a normal distribution.<br /> <br /> Correlation test demonstrated a correlation between number of treatments and number of patients. However, no other correlations were seen.
Significant variation exists in the utilization pattern. No signiciant correlation was seen except between the number of treatments vs. number of patients. This study was a demonstration of a technique for analyzing utilization data. . As such, the portal created to perform this task as well as the initial description of a code was successful.<br />
This PDF is available to Subscribers Only