Risk Management (General)
Insuring HIV - Q&A with Dr. Dan Zimmerman
Recently, RGA’s Dr. Dan Zimmerman spoke to the Association of Home Office Underwriters (AHOU) about the history of HIV/AIDS and insurance, and how risk modeling can reasonably conclude that some individuals with HIV can now be candidates for life insurance coverage. We sat down with Dr. Zimmerman to discuss his presentation and the paradigm shift in the availability of life insurance for people with HIV.
Impaired Risk Review: Crediting Systems
Once upon a time, being a standard risk in the underwriting process was the best you could hope for. It meant that your health was at the top of the group of insured lives being considered and eligible for the best rate, and that you would live all the way out to the prediction of the actuarial life tables. Now, life insurers have created a whole tier of preferred and super preferred pricing that makes a standard issue almost seem like a rated policy.
NT-pro BNP in Risk Assessment of those having Stable Coronary Atherosclerotic Heart Disease (CAD)
N Terminal-pro Brain Natriuretic Peptide (NT-pro BNP) is produced by cardiac muscle cells (myocytes) in response to cardiac wall stress and myocardial ischemia. NT-pro BNP has been shown to predict all-cause mortality in insurance applicants without a history of heart disease, as well as in the general population. It has been found to improve future cardiovascular risk estimation when considered along with classic cardiovascular risk assessors. It has also been identified as an indicator of future mortality risk in those having stable coronary atherosclerotic heart disease (CAD)
Mature Ages and Preferred Underwriting
Preferred underwriting is simply the aggregation of risk into groupings, according to a set of predetermined criteria representing a certain level of risk. Historically, the insurance industry simply classified individuals as either standard or substandard risks.
MIB Mortality Risk Analysis Committee: Diabetes Study (Video)
This video presents findings from a recent study on diabetes conducted by the MIB Mortality Risk Analysis Committee.
The link to the study is here: http://www.mibgroup.com/pdf/2016_06_diabetes_study.pdf
How Biological Age Could Help Insurers Improve Customer Relationships
Ageing is an innate and often emotional process. We generally sense our own ageing in a visceral, illogical way; for example, we could feel rejuvenated by a healthy diet or regular exercise. In fact how we feel could reflect our biological age, which may better indicate our current health status by taking account of improvements and deterioration, than chronological age that increases continually and incrementally.
RGA ReFlections May 2016 Issue
This edition of ReFlections contains an in-depth review of the role of genetics in the rapidly changing diagnostic criteria, risk stratification, and treatment of individuals with chronic lymphocytic leukemia (CLL). RGA also discusses the relatively new but increasingly popular Cancer Reimbursement product and its design, underwriting and claims issues. ReCite, a medical literature review section, has articles of interest to both underwriters and medical directors.
SCORviews March 2016 Issue
The latest issue of Scor Global Life’s SCORviews publication includes the following articles:
- When the Term Level Ends
- Mortality Improvements in the Future
- Data Protection and the Cloud
The Accuracy of Prediction Models in Life Underwriting
According to IBM, 90% of all the data in the world has been created in the past two years. Each of us is utilizing and providing data every time we log in to our computers, browse the Internet or simply drive down the highway with our iPhone in our pocket. The challenge for every industry is how to harness and effectively utilize that data to drive more profitable business.
Preferred Risk Classification: Should We Keep the Status Quo?
The life insurance industry has relied mostly on the knock-out approach to underwriting preferred risks. When reviewing the thresholds for individual risk criteria, one may ask whether the system is too liberal – i.e., are we admitting too many questionable risks into our best classes? Yet industry experience seems to indicate that the system works well.