Risk Management (General)
Mental Illness Risk
There is plenty of evidence that, generally, mortality is elevated in mental illness. That it should be so in the more severe forms such as schizophrenia and bipolar disorder should be no surprise, but it is interesting to note that even milder conditions may present an extra risk.
Trends Point to an Accelerated Future for Risk Selection
This final article explores the future of accelerated underwriting in the context of a broader consideration of the future of risk selection in general. It follows some of today’s prominent trends – personalized products, underwriting engagement, and heightened risks and regulations – to their potential long-term outcomes, and concludes with basic steps insurers can take today to help lead the industry of tomorrow.
Better Underwriting Decisions are Just a Heartbeat Away
Technological advances in biosensors and increasing amounts of heart rate data from wearable devices and electronic health records are leading to the development of more sophisticated underwriting algorithms. This data, when coupled with robust epidemiological evidence about the prognostic value of heart rate, may improve insurer understanding of cardiovascular risk and ultimately allow underwriters to better predict morbidity and mortality risk.
Polygenic Risk Scores: Combining Thousands of Genetic Variants to Predict Disease
Richard Russell, Ph.D., Lead Health Data Scientist, U.K., Division of Global Research and Data Analytics (GRDA), addresses polygenic risk scores (PRSs) and provides an update on the quickly advancing knowledge in this area of genetics research and risk assessment.
Don’t Share Your Health Data with Insurance Companies Just for the Perks
Insurers are today capable of and are, in fact, gathering ever-more-detailed information about us, using publicly available and purchasable information like shopping records, household details, and social-media profiles to inform decisions.
The Risk of Anti-Selection in Protection Business from Advances in Statistical Genetics
Four-part webcast series presents new research and explores potential implications for the insurance industry.
Why Data Veracity Will Reshape Life Insurance
From its earliest days, life insurance has been fueled by data. Today, the industry is more data-driven than ever. Life insurers rely on data to make better operational, risk and pricing decisions. They use data to develop new products and business models. Increasingly, they leverage data to incentivize customers to reduce their exposure to risks and help them avoid incurring losses.
Travel Risks & Life Underwriting
Conditions within a country can change rapidly at any given time. When assessing and classifying an applicant’s travel related risk, it is important for underwriters to review the relevant U.S. Department of State Travel Advisory information in its entirety.
Why ‘Big Data’ Will Force Insurance Companies to Think Hard About Race
The controversy surrounding the political consulting firm Cambridge Analytica’s use of personal data harvested from social media accounts without the users’ permission is among the first of what likely will be a long series of public debates about how the use of “big data” can shape our lives. And one of the most obvious battlegrounds where we should expect such fights to play out soon is in the insurance industry.
To Tell the Truth: Applicant Nondisclosure of Obesity and HIV and Hepatitis C
Applicants’ self-disclosed Human Immunodeficiency Virus (HIV) and hepatitis C virus (HCV) status as well as body mass index (BMI) are important risk factors for morbidity and mortality in both accelerated and traditional (full) underwriting processes. In combination with self-disclosed smoking and medical history (diabetes, hypertension, heart failure, high cholesterol), which was discussed in a previous issue of Contingencies, these conditions constitute a majority of the leading medical inputs to the risk-assessment process.