The company processes between 70,000-80,000 insurance claims every day, of which 1,000-3,000 claims get rejected by the system due to Optical Character Recognition (OCR), data errors, or missing information. Providers often remain unaware of these rejections, totaling 528,000 claims annually and significant revenue loss.
As part of its process, Amerigroup used a “business rules engine” to validate basic claim information. However, the system frequently produced “non-matches,” necessitating manual efforts from the claims team to reconcile approximately 15,000 physicians daily. Plus, the system failed to account for diverse state requirements regarding National Provider Identifiers (NPIs), National Drug Codes (NDCs), and other essential data, resulting in costly errors.
“We were excited to partner with OZ when we learned of their extensive expertise in healthcare industry software development as well as in streamlining business processes.”
Amerigroup recognized the need for automated processes that could substantially reduce the errors caused by their current manual claims processes.
OZ conducted an in-depth analysis of the current system and developed an intelligent queuing system by leveraging the latest Microsoft technologies. An Intelligent Automation (IA) framework, integrating Robotic Process Automation (RPA) for seamless communication and data analytics for comprehensive reporting across claims processing systems and ancillary platforms, was deployed. OZ created an on-demand rejected claims report with links to review individual claims, allowing processors to reverse claims errors and reprocess them immediately.
To increase the accuracy of data selections, upgrades were made to the intelligent automation business rules engine with new rules added to optimize physician, NPI, and NDC validations, as well as variations in state requirements.
After the new intelligent queuing solution was implemented, the turnaround time increased by 50% with 100% accuracy. 80% of manual processes were automated. The new solution has become a useful tool to complete daily routine tasks and quickly process and adjudicate claims
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