The Nitty Gritty Security Questions You Need to Ask Insurtech Vendors

The Patient Protection and Affordable Care Act (ACA) of 2010 changed several aspects of the law concerning access to health insurance that were particularly salient for people with disabilities. These changes included removing limits on preexisting conditions, extending parent’s health insurance coverage of young adults until the age of 26, expanding Medicaid to more adults with low incomes, and making it easier to obtain affordable coverage outside the traditional employer-sponsored benefit system.

enior insurance executives to explore the AI-enabled personalization of insurance products to increase customer loyaltyCustomer service is undoubtedly important to the modern, connected consumer. The chief differentiator between legacy carriers and the new breed of agile, digital-native insurtechs lies in the superior, efficient and omnichannel customer experience the latter are able to provide. While 2018 saw many legacy carriers conduct a host of pilot initiatives aimed at improving the customer experience, there is an imperative on the rest to act now in delivering interactive and personalized products, communications and experiences. Based on a 2019 Insurance Nexus survey, insurance executives believe that customer experience will see the biggest impact from the implementation of AI. While there are many barriers for carriers to effectively leverage AI, its potential for winning and retaining customers in the future is beyond doubt.

Are you considering a change in your business model? Perhaps expanding your reach by transitioning to a direct bill model through insurance to your clients and patients in lieu of or in addition to selling through distributors? Some of the fastest growing Medical Device and Remote Patient Monitoring organizations have made this change. Learn about the considerations, strategies, and visibility you need to make this transition successful and accelerate your adoption and revenue growth.

In the past year, we have noticed a surge in demand for digitized solutions. We've reflected on the role automation plays in credit risk modeling and management, and how we can design our products to make it easier for machines and the machine learning algorithm to perform the tasks of humans at a similar level of accuracy as humans with a higher speed and scalability that automation brings. Key highlights: Top reasons many are starting to automate their client risk workflows How we have highlighted client feedback into our considerations in product design Concrete examples on how our product design derives speed and scalability to clients Getting practical with Basel III/APS 112 requirements