By John Lynn
Publication Date: 2025-11-12 16:00:00
According to research by enGen, a healthtech company that serves payers and providers with automated solutions, they found that each error in member enrollment data costs an average of $172 in fixes and downstream problems. A new solution called enGen enRollTM, an AI-driven collaboration between enGen and IBM, was designed to address this problem. Maynd Jolly, Chief Financial Officer and Senior Vice President of Client Partnership at enGen, and Matt Gierhart, Vice President of Product Management at IBM, discuss the implications and promise of the product in this interview at the recent HLTH Conference.
Another statistic cited by Jolly is that one of enGen’s health plan clients experiences 40 million errors a year in enrollment data. Fixing these errors takes time and money away from innovation by payers and has significant effect on downstream operations that impact the member experience and access to care.
Gierhart describes the three parts of enGen…