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LexisNexis Risk Solutions Delivers the Next-Generation Life Segmentation Model with Risk Classifier with Medical Data

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LexisNexis Risk Solutions launched the Risk Classifier with Medical Data, a pioneering predictive mortality model for life insurers. This model integrates up to six data sources, including behavioral and medical data, enabling more precise risk ratings and competitive policy pricing. Developed in partnership with ExamOne, it streamlines the underwriting process by reducing the need for paramedical exams. The model offers a significant 13x risk separation between classifications, enhancing the speed and accessibility of life insurance for consumers.

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  • Launch of Risk Classifier with Medical Data enhances risk prediction for life insurers.
  • Integration of multiple data sources improves underwriting efficiency.
  • Allows life insurers to reach untapped markets, expanding customer base.
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ATLANTA, July 21, 2021 /PRNewswire/ -- LexisNexis® Risk Solutions, a leading provider of data, analytics and technology for the insurance industry, today introduced LexisNexis® Risk Classifier with Medical Data, the first solution to combine up to six sources of behavioral and medical data and provide life insurers with a predictive mortality model that allows them to more accurately rate risk and help competitively price policies. This innovative solution was developed to improve the life insurance experience for insurers and consumers, giving life insurers more predictive, valuable data for an in-depth picture of risk so that more consumers can get access to the life insurance they need to protect their loved ones.

LexisNexis Risk Classifier with Medical Data aggregates long-standing and actuarially proven data sources including public records, credit attributes and driving behavior data as well as prescription history, medical diagnosis and clinical lab attributes. It is available through a strategic relationship with ExamOne®, a Quest Diagnostics company, which obtains medical data for this purpose with an insured applicant's authorization, to form a next-generation mortality model that life insurers can integrate into their existing workflow for accelerated underwriting.

"Life insurance carriers are continually looking for ways to drive better risk differentiation and improve the consumer experience to build a competitive advantage," said Debra Gangelhoff, vice president and general manager of Life Insurance at LexisNexis Risk Solutions. "The combination of behavioral and medical data integrated in one model through LexisNexis Risk Classifier with Medical Data helps life insurers reveal additional unknown risks and improve their mortality scoring for confidence in their underwriting program. It also helps lower underwriting costs and can help put a higher percentage of consumers through an accelerated underwriting path."

According to the data scientists at LexisNexis Risk Solutions, the next-generation combined model provides more mortality separation across risk classifications to determine a more accurate mortality score. This will help enable carriers to deliver consumers a faster and easier life insurance underwriting process. Ultimately, this can assist in getting more life insurance policies in the hands of more consumers.

"We found that when it comes to modeling mortality risk, combining behavior and medical data into a single model provides a 13x separation between the top and bottom deciles, which is 2.5x greater than prescription data alone, and it provides a 27x separation between the top and bottom percentiles," said Patrick Sugent, vice president of Analytics at LexisNexis Risk Solutions.

Unlike traditional life insurance underwriting, which typically requires a paramedical exam, and often has lengthy application and underwriting processes, LexisNexis Risk Classifier with Medical Data helps life insurers get more information upfront, which may allow them to avoid the paramedical process altogether and accelerate their underwriting. As a result, consumers applying for life insurance appreciate the faster, more streamlined and less invasive life insurance underwriting process.

"The current economic climate and accelerated underwriting options provide life insurers with opportunities to reach new, untapped markets that have not traditionally bought life insurance before," said Gangelhoff. "We are excited about the opportunity to help them continue maximizing data and advanced analytics to grow business and get life insurance in the hands of more families."

For more information, please visit LexisNexis Risk Classifier with Medical Data.

About LexisNexis Risk Solutions
LexisNexis Risk Solutions harnesses the power of data and advanced analytics to provide insights that help businesses and governmental entities reduce risk and improve decisions to benefit people around the globe. We provide data and technology solutions for a wide range of industries including insurance, financial services, healthcare and government. Headquartered in metro Atlanta, Georgia, we have offices throughout the world and are part of RELX (LSE: REL/NYSE: RELX), a global provider of information and analytics for professional and business customers across industries. For more information, please visit www.risk.lexisnexis.com and www.relx.com.

Media Contacts:
Rocio Rivera
LexisNexis Risk Solutions
Phone: +1.678.694.2338
rocio.rivera@lexisnexisrisk.com 

Mollie Holman
Brodeur Partners for LexisNexis Risk Solutions
Phone: +1.646.746.5611
mholman@brodeur.com

 

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SOURCE LexisNexis Risk Solutions

FAQ

What is the LexisNexis Risk Classifier with Medical Data?

It is a predictive mortality model that integrates behavioral and medical data for life insurers, improving risk assessment.

How does the Risk Classifier improve underwriting?

By combining multiple data sources, it allows insurers to process applications faster and potentially eliminate the need for paramedical exams.

What benefits does the new model offer to life insurers?

It provides more accurate mortality scores and helps insurers reach a broader market by facilitating faster policy issuance.

When was the Risk Classifier with Medical Data launched?

It was introduced on July 21, 2021.

What company developed the Risk Classifier with Medical Data?

LexisNexis Risk Solutions developed the model in partnership with ExamOne, a Quest Diagnostics company.

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