Title :
Application of micro-segmentation algorithms to the healthcare market: A case study
Author :
Sukumar, Sreenivas R. ; Aline, Frank
Author_Institution :
Comput. Sci. & Eng. Div., Oak Ridge Nat. Lab., Oak Ridge, TN, USA
Abstract :
We draw inspiration from the recent success of loyalty programs and targeted personalized market campaigns of retail companies such as Kroger, Netflix, etc. to understand beneficiary behaviors in the healthcare system. Our posit is that by better understanding and predicting customer behaviors we can emulate the financial success of retail companies in the healthcare market. Towards that goal, we survey current practices in market segmentation research and analyze health insurance claims data using a selected few of those algorithms. We present results and discuss insights based on the analysis.
Keywords :
consumer behaviour; data analysis; health care; insurance; market research; marketing data processing; beneficiary behaviors; customer behaviors; financial success; health insurance claims data; healthcare market; healthcare system; market microsegmentation algorithms; market segmentation research; personalized market campaigns; retail companies; Algorithm design and analysis; Clustering algorithms; Diseases; Insurance; Sociology; Statistics; healthcare system optimization; market micro-segmentation; patient behaviors; public health dynamics;
Conference_Titel :
Biomedical Sciences and Engineering Conference (BSEC), 2013
Conference_Location :
Oak Ridge, TN
Print_ISBN :
978-1-4799-2118-8
DOI :
10.1109/BSEC.2013.6618489
