Arintra’s GenAI Solution Takes on High-Volume Coding, Enabling Coders to Work at the Top of Their License Across CDI, Compliance, and Revenue Integrity

Mercyhealth, a prominent multi-regional health system serving 55 communities across northern Illinois and southern Wisconsin, has reported a 5.1 percent increase in revenue and a 50 percent reduction in accounts receivable days following the automation of its high-volume claims across 10 specialties. Facing rapid growth to over 200 care locations during a nationwide shortage of medical coders, the system found that its coding team was quickly overwhelmed. To improve operational efficiency, maintain financial stability, and support its workforce, Mercyhealth implemented Arintra, a leading GenAI-native medical coding platform. By automating a substantial portion of claims processing, Arintra allowed coders to focus on more complex and higher-value tasks, effectively supplementing the work of over eight full-time coders.

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Kelly Pierson, CPC, CRC, Director of Coding and Clinical Documentation Integrity at Mercyhealth, stated that while there can be concern about AI affecting jobs, the system has instead empowered their workforce. She explained that coders now have time to handle complex claims, educate providers about documentation gaps, manage denials, and collaborate across departments to strengthen revenue integrity.

The combination of rising claim volumes and a shrinking coder workforce has made it increasingly difficult for health systems to maintain accuracy and timeliness, often resulting in lost revenue. Industry studies indicate that staffing shortages directly impact reimbursement rates, highlighting the importance of automation in revenue cycle management. At Mercyhealth, Arintra now manages the administrative workload of over 50,000 claims monthly. By standardizing coding practices across multiple specialties, the system has reduced variability, improved compliance, and enhanced consistency throughout its revenue cycle operations.

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Nitesh Shroff, Chief Executive Officer and Co-Founder of Arintra, emphasized that the platform builds resilience into the revenue cycle by ensuring claims are coded correctly from the start. He noted that coders often act as firefighters, reacting to denials and issues after they occur. With AI automation, many of these challenges are prevented upstream, creating a more predictable, compliant, and sustainable revenue cycle.

Thanks to the time saved through automation, Mercyhealth has introduced certification programs for its coding staff, allowing them to gain advanced skills in auditing, compliance, and provider education. This initiative demonstrates the system’s commitment to workforce development, operational excellence, and maintaining a strong financial foundation while delivering quality care.

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