Predictive models and predictive analytics have recently begun to permeate the U.S. individual life insurance market. All direct writing companies and reinsurers need to develop an understanding of these models and their implications for risk selection, risk classification and mortality pricing.

Carriers providing long-term care (LTC) insurance have historically invested significant resources in risk management activities designed to ensure that policies are properly priced and that premiums can remain relatively stable for consumers. An important focus of such risk management activities has been the medical underwriting process and more specifically dementia screening.

Discoveries in the past 30 years have profoundly altered our understanding of human cognition. The implications for actuarial science and risk management are only beginning to be understood.

Health insurers are counting on technology to reduce the claims-processing errors that cost billions of dollars and frustrate patients and physicians.

Overweight and obese patients with rheumatoid arthritis (RA) have lower all-cause and cardiovascular mortality, but have substantially increased risks of comorbidities, medical costs, and reduced quality of life compared with normal-weight RA patients, according to a study published online April 18 in Arthritis Care & Research.

Hank recently recorded a pair of videos in which he covers the fundamentals of Rx in underwriting. Topics covered include off-label prescribing, drug classification, the significance of drug delivery route, nonadherence, and much more.