Science Applications International Corp. has launched eligibilityNOW, a claims management solution designed to help government agencies speed up and improve the accuracy of benefits processing through secure artificial intelligence.
Developed with Xerox, the platform targets eligibility backlogs and delays at government civilian agencies and health departments. It digitizes, validates, routes and securely stores claims data in the cloud using Xerox Intelligent Data Processing and SAIC’s Intelligent Document Management. SAIC said the artificial intelligence-powered system can be deployed quickly to cut manual work and bypass legacy system limits.
SAIC Senior Vice President of the Health Market Heath Starr said the company’s team of claims adjustment specialists and technology experts has a deep, hands-on understanding of the complexities of government health claims management, which helps ensure accuracy, compliance and efficiency.
“eligibilityNOW combines our expertise as a mission integrator with Xerox digital transformation capabilities to accelerate benefit delivery, minimize errors and significantly reduce administrative burden, ensuring patients receive support when it matters most,” he added.
The company said eligibilityNOW is designed for agencies such as the Department of Veterans Affairs, the Department of Health and Human Services, and state and local health offices. It said the platform speeds benefit delivery by using secure artificial intelligence to reduce the cognitive load on claims adjudicators, ease processing burdens and build citizen trust.
“At Xerox, we are committed to advancing digital transformation within the public sector,” said Stephen Miller, chief digital officer at Xerox. “We’re proud to support SAIC in the launch of eligibilityNOW, combining decades of claims processing innovation together with AI-powered intelligence to help government agencies reduce delays, eliminate costly inefficiencies, and most importantly, deliver life-changing health benefits with speed, accuracy and compassion.”