What factors influence sleep apnea mortality? Who is at a higher risk of dying? RGA’s expert network of data scientists, actuaries, medical directors, and underwriters worked in collaboration to answer this question through a predictive model.
Individuals who have only low-severity medications in their prescription histories may not necessarily be those with the least mortality risk.
Munich Re Life US evaluated LexisNexis Risk Classifier with Medical Data, a predictive modeling tool developed and owned by LexisNexis® Risk Solutions in collaboration with ExamOne. It assesses mortality risk by combining an individual’s behavioral and credit attributes and medical data, including prescription history, clinical laboratory results, and medical claims.
Understanding the effects of physical activity on mortality and morbidity risk
Munich Re analyzed the effectiveness of daily sleep duration in stratifying the mortality risk profile of a U.S. insured population simulated from National Center for Health Statistics survey data.
An increase in opioid misuse has contributed to a rise in overdose mortality, gaining the attention of the media, Hollywood, and legislators.
Is the recent slowdown of mortality improvement observed amongst the U.S. population also happening in the individual life insurance population, and what are the implications for the future?
When one looks at a curve of the mortality rates by age in developed countries, we notice a very regular pattern. Especially the middle-age groups - age 30 to 70+, for example - seem to have close to an exponential curve in mortality rates.
Are cannabis, hemp and marijuana the same thing? What are THC and CBD? Are the medicinal benefits of cannabis true? What are the health risks? And as of now, is there enough data to assess the mortality impact?
considered by life insurance underwriters are highly influenced by routine clinical assessments, often undertaken in acute situations following an episode of self-directed violence.