Description: Many executives are talking about predictive analytics uses in health insurance.

Description: Exploration of sources of volatility in retiree health valuations, noting how volatility arises and might be mitigated, with discussion of valuation parameters more problematic for retiree health benefits than for pensions. Three significant influences on retiree health valuation volatility are covered-- changes in benefit level, fluctuations in cost level, and alterations in eligibility for, or duration of, benefit – and attention focused on the last two. Specific conclusions result in recommendations, which are supported by practical examples contrasting volatile measurement results with those likely from the recommended practices. Theoretical discussion includes health claim variation, health trend usage, financial economics, option pricing, discount rates, and deterministic vs. stochastic modeling.

Description: The Behavioral Finance subgroup of the Health Section will be publishing a series of literature reviews in Health Watch. This is the first review of three in the series. The reviewed article describes an attempt to place an econometric value on consumers’ preferences between broad and narrow networks.

Description: This article will consider several issues arising from ACO budgeting and pricing of stoploss coverage, including: 1) attribution of members; 2) claim carve outs; 3) ambiguous stoploss terms; 4) providers gaming the system and 5) credibility of data.

Description: We highlight a new approach leveraging predictive analytics to identify high risk and rising risk opioid users for more effective screening and follow-up care.