SEATTLE, June 3 /PRNewswire/ -- Due to its increasing potential as a tool in health insurance underwriting, Lifestyle-Based Analytics (LBA) continues to receive considerable attention from insurers and the media. We've probably all seen optimistic claims about the use of consumer data as a predictor in the underwriting process. In response, Milliman expert Jonathan Shreve, FSA, offers a fresh perspective on an advance in risk selection and classification through the effective use of Lifestyle-Based Analytics.
Studies and intuition tell us that lifestyle habits and characteristics are linked to disease prevalence. Through the use of consumer data, LBA utilizes lifestyle variables to enhance the risk classification system for relevant conditions. Statistics are then applied to identify correlations between lifestyle information and prevalence of various diseases. This has proven to be extremely effective in differentiating between high-cost and low-cost insurance plan members.
LBA is increasingly viewed as a high-quality advance in the art of risk selection. Within the last decade, the amount and reliability of data collected has grown dramatically. This enhanced data enables LBA researchers to identify risk pools that correlate to certain adverse conditions. It now appears likely that LBA could be used in conjunction with other risk classification tools to produce underwriting results with a meaningfully higher degree of accuracy.
As an early developer of LBA, Milliman has now completed a number of
client projects involving its use. Due to a scheduling conflict for the
webinar in May, Milliman will conduct an encore free educational Webinar on
June 24th, at 2 PM EDT, to share the knowledge gained in the process, and
to address both the potential for and limitations of LBA. The seminar will
also explore meaningful underwriting applications of LBA. Highlights of the
Webinar include:
-- Details of integrating LBA with tradition
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