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Touchless Claims

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TOUCHLESS CLAIMS | 12 Depending on the complexity of the claim, there are plenty of instances where a "no touch" approach is essential. Simple, common tasks such as state regulatory compliance activities and form submissions can be totally automated. But there are also process automated scenarios where human intervention should be anticipated and/or built into the system as an enhancement. Initiatives such as "return to work" and certain claims settlements -- especially those involving bodily injury -- should be complemented with human interaction to optimize the customer experience. Analytics is being increasing used throughout the claims process to help "guide" the claim to the appropriate resource - human or technology. For instance, if a medical claim exceeds a certain financial threshold, the system can alert the risk manager to review the claim and determine if it can continue through the automated workflow or if it requires unique handling by a person. These "triggers" help to optimize the human/technology balance. Threaded throughout our research is the consumer desire for an intermixing of virtual and self-service with human adjuster interaction — a hybrid claims processing model… Consumers appreciate the convenience of online, self-service virtual processes, but when they want to talk to a human nothing else can substitute — not even the most personable bot. Having access to a representative dramatically increases consumer comfort levels with automated claims processes across every group, and especially for Baby Boomers. Comfort level increases even more substantially among those who've recently submitted a claim. - 2021 Future Of Claims Study, LexisNexis McKinsey believes it's a combination of leveraging both resources. "Leading claims organizations will evolve to combine and harness the best features of artificial and human intelligence—and eliminate the blind spots in both. We expect humans to continue to be essential to the claims process. And thanks to their use of digital enablers and AI, they'll be able to work more productively and effectively."

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