Tag Archives: InsurTech

Top 15 global articles and reports for 2017

Milliman’s most viewed articles worldwide in 2017 covered topics related to healthcare in the United States, the rise of InsurTech, and the challenges of IFRS 17. (For summaries and links to all of the articles, click here.)

Here is the list of the top global articles and reports for the year:

15. MACRA: Key Considerations for health plans, By Colleen Norris and Mary van der Heijde

14. Multiemployer Pension Funding Study, By Kevin Campe

13. The American Health Care Act, By Jason Karcher

12. MACRA and Medicare Advantage plans: Synergies and potential opportunities, By Christopher Kunkel, Drew Osborne, Lynn Dong, Michael Polakowski, Noah Champagne, and Charlie Mills

11. Effective employee communication: The benefits of best practices, By Jessica Gonchar, Heidi tenBroek, and Sharon Stocker

10. Building blocks: Block grants, per capita caps, and Medicaid reform, By Justin Birrell, Jennifer Gerstorff, Nicholas Johnson, and Brad Armstrong

9. Overview and practical considerations of the new insurance contract standard: IFRS 17, By Gillian Tucker and Andrew Kay

8. InsurTech: Innovation in the P&C insurance space, By Thomas Ryan

7. The employer stop-loss insurance marketplace since the Affordable Care Act, By Mehb Khoja

6. 2017 Public Pension Funding Study, By Rebecca Sielman

5. Summary of individual market enrollment and Affordable Care Act subsidies, By Paul Houchens, Jason Clarkson, and Zachary Fohl

4. Impact of the transition from RAPS to EDS on Medicare Advantage risk scores, By Deana Bell, David Koenig, and Charlie Mills

3. Corporate Pension Funding Study, By Zorast Wadia, Alan Perry, and Charles Clark

2. Pension Funding Index, By Zorast Wadia and Charles Clark

1. Milliman Medical Index, By Christopher Girod, Susan Hart, and Scott Weltz

Milliman debuts proprietary predictive modeling platform for advanced analytics and enhanced data management

Milliman will debut its proprietary predictive modeling platform at the Insider Tech Conference held in New York City on December 6. Milliman’s recently created analytics software, Solys, uses advanced computer languages, models, and machine learning so that consultants can serve their clients with increased speed, reach, and cost-efficiency.

An internal tool that can be used to benefit Milliman’s current and future clients, Solys simplifies processes, improves data management, and performs advanced predictive analytics using the latest software environments and programming languages. The leading technology increases efficiencies and consultant capabilities in the growing InsurTech field. Milliman consultants will be discussing the tool and the firm’s work in InsurTech at a panel discussion at the Insider Tech event in New York on December 6.

As insurers face disruption around the “Internet of Things,” the shared economy, and autonomous vehicles, it’s vital that their consultants provide the best answers in the fastest and most cost-efficient manner possible. Milliman’s advanced predictive modeling tool enables consultants to address their clients’ InsurTech questions and remain leaders in this rapidly changing industry.

To read Milliman’s InsurTech research,  click here. Also, to subscribe to Milliman’s InsurTech updates, contact us here.

New smartphone-based driving risk score detects drivers that are 13 times more likely to crash

Milliman has announced a new innovation in the InsurTech space—a driving “risk score” created with tech start-up Zendrive that is up to six times more powerful than the leading predictive models.

Milliman teamed up with Zendrive, a smartphone-powered driving analytics company, to study how distracted driving and other driving behaviors can lead to auto collisions. Using Zendrive data, Milliman verified the behaviors that were strong indicators of collision frequency and created a risk score to compare the “worst” drivers relative to the “best.” Their findings revealed that the worst 10% of drivers were over 13 times more likely to be involved in a crash than the best 10% of drivers. The results were based on one of—if not the—largest telematics data set in the United States. As of today, Zendrive has captured over 40 billion miles of driving behavior via smartphone sensors.

Smartphones can measure driving behaviors that traditional, first-generation telematics can’t, such as who is driving the vehicle and phone usage contributing to distracted driving. These new-age predictors contributed to a risk score that is over six times more accurate than the current industry leader models, which use traditional hardware-based telematics devices. There’s an opportunity here for auto insurers, especially commercial auto fleet insurers, to be early adopters of this technology, and improve their abilities to measure and rate risk.

To read more about the study, click here. Also, to read more about Milliman’s InsurTech research, click here.

To subscribe to Milliman’s InsurTech updates, email us.

Can traditional insurers keep up with the InsurTech transformation?

Technology is changing the way businesses evaluate risks, transforming customer interactions, and overhauling the purchase process. As traditional insurers strive to overcome legacy systems and practices, how are they successfully keeping pace with new InsurTech entrants? In the Milliman Impact article “Setting the pace: InsurTech transformation,” Neil Cantle, Russell Osman, and Pat Renzi offer their perspectives on the challenges that traditional insurers must navigate.

 

Milliman launches innovative benchmarking tool for assessing the variability in unpaid claim estimates

Milliman has announced the launch of its latest InsurTech offering, an innovative casualty benchmarking tool that provides a new industry standard and a better, more efficient way of assessing variability in unpaid claim estimates. Milliman’s Claim Variability Guidelines™, debuting at the Casualty Loss Reserve Seminar in Philadelphia, are new industry benchmarks to help evaluate the quality of stochastic unpaid claim distributions used for enterprise risk management (ERM) and dynamic financial analysis (DFA), including correlations for aggregate distributions. The Guidelines also stochastically support deterministic ranges used for reserving.

Milliman’s Claim Variability Guidelines are like version 2.0 of the standard benchmarks that are currently used industry-wide—they’re a modernized, robust, and efficient set of tools that can help insurers better understand their unpaid claim reserves. Being able to gauge the quality of unpaid claim variability estimates is a key metric in any risk management strategy, and allows insurers to more accurately price their products.

Key features of the tool include automatically adapting results based on company size, as well as the flexibility to adjust for different development patterns, currencies, and variance assumptions. For more information, Mark will be presenting on benchmarking unpaid claim estimates, as well as integrating reserve variability into ERM, at the Casualty Loss Reserve Seminar this week in Philadelphia; or click here.