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.
Biological Age Model: Using Wearable Data to Empower Healthier Lives
Customers today are more digitally‐enabled, more health conscious and more demanding of customized products and services that offer greater freedom and flexibility. The insurance industry however often fails to keep pace, and consumers can face multiple pain points in their insurance journey.
Underwriting and Claims: In Plain View - Interrupting Violence and Abuse
Our deepening understanding of physical costs of violence and abuse has profound implications for life and health insurance. RGA’s ROSEBUD® Consulting Group recently invited Pamela DeWitt-Meza to present a webinar on “Intersections of Abuse” to help case managers identify signs of abuse and intervene effectively, and she discusses the highlights in a brief interview.
A 64 year old female was submitted for life insurance with what the agent felt were “insurable problems.” She was diagnosed with lupus 20 years ago but the disease had remained inactive, on no specific medications, normal kidney testing, and only with recommendations to stay out of the sun for photosensitivity reasons.
QUIZ: What Wastes the Most Time in Your Life Underwriting Process?
I recently attended the AHOU 2018 17th Annual Conference and had the opportunity to talk to tons of underwriters who all had strikingly-common challenges. In many of my conversations, I asked how long their average APS is and how long it takes them to underwrite a policy, and I was often met with responses like oh jeez – too long? Or Gosh, hundreds of pages and anywhere from 45 to 90 minutes.
Health Insurers Are Vacuuming Up Details About You — And It Could Raise Your Rates
Without any public scrutiny, insurers and data brokers are predicting your health costs based on data about things like race, marital status, how much TV you watch, whether you pay your bills on time or even buy plus-size clothing.
Unveiling Black Box Models - Interpretability and Trust
In most fields, domain-specific data analysis and generalized linear models (GLMs) have been routinely used to extract insights from the data. The underlying mathematics of such analyses are rather straightforward, and practitioners as well as non-technical project members are experienced in how to interpret the results, and thus are adept at applying them in the context of business.
Have you noticed that the word invasive is being bandied about more and more often in underwriting-related articles and commentaries published online and in various industry publications? This is mainly being done by those advocating radical changes in underwriting practices.
The purpose of this paper is to discuss the insurability implications of low normal/ below normal ALT in the elderly… in the hope that insurers will consider adding appropriate guidelines for this finding at older ages.