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

fYear

2013

fDate

21-23 May 2013

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Sciences and Engineering Conference (BSEC), 2013

Conference_Location

Oak Ridge, TN

Print_ISBN

978-1-4799-2118-8

Type

conf

DOI

10.1109/BSEC.2013.6618489

Filename

6618489