$12M+ revenue unlocked and 800K charts cleared for a leading U.S. health system

Overview

A prominent Midwest-based healthcare technology and services provider was supporting one of the largest integrated health systems in the United States. Our partnership with this provider began when the end client (the health system) faced a critical operational crisis due to major security issues with a previous well-known vendor.

The client had a staggering backlog of approximately 800,000 unprocessed charts over a period of 4 months. Combined with an incoming daily volume of ~6,500 new charts, this threatened their financial stability and ability to serve their network spanning multiple hospitals and outpatient facilities.

The client urgently needed a partner capable of clearing the massive backlog while maintaining same-day coding for incremental volumes without sacrificing accuracy or compliance.

Challenges

The client was facing multiple roadblocks that created severe revenue leakage and operational disruptions:

• Massive chart backlog impacting cash flow: Claim submissions were getting delayed due to a backlog of 800,000+ unprocessed charts due to vendor failure, thus trapping millions in unrealized revenue.
• Dual processing requirements: To avoid service level violations, they would have to simultaneously clear historical backlog and process 6,500 new charts per day.
• Inadequate turnaround time: Due to existing fragmented workflows, they were unable to deliver within the require 4-day TAT.
• Complex specialty coding: Radiology and interventional procedures require deep expertise in modifiers, bundling rules, and payer-specific requirements that generic tools often fail to capture, increasing the risk of coding errors and claim denials.
• Security and compliance concerns: After the breach, the client needed enterprise-grade security certifications and audit-ready compliance infrastructure as well as strict compliance and quality measures.
• Real-time output restructuring: The end client discovered they could not meet contractual 48-hour billing timelines for technical components without separating professional and technical files at the output stage. This required immediate workflow reconfiguration for all new processing plus retroactive file splitting for approximately 3 months of historical output.

How We Made It Happen

Firstsource deployed a multi-pronged denials management transformation combining clinical expertise, AI-powered automation, targeted process improvements, and real-time analytics. Key interventions included:

• Autonomous coding implementation: We deployed our proprietary autonomous coding solution to handle the bulk of the volumes. Thus, we replaced fragmented workflows with a seamless end-to-end process while maintaining specialty-specific accuracy and clinical nuance.
• Intelligent logic & compliance governance: We integrated a payer-specific rules engine and real-time audit checks to ensure that speed did not compromise compliance or accuracy. We also ensured every autonomously coded claim met compliance requirements before submission, with ongoing quality audits to maintain performance standards.
• Strategic fallout management: For complex cases that the AI system flagged, we implemented skillset-based allocations, ensuring that expert coders handled "fallouts" with high precision.
• Operational transparency & robust governance: We built real-time dashboards to give the client complete visibility into productivity, accuracy, and fallout rates, transforming their data into actionable insights as part of a robust governance model.
• Enterprise security infrastructure: We deployed a SOC 2 Type II and HITRUST certified platform with end-to-end encryption, multi-factor authentication, role-based access controls, and complete audit logging to address post-breach security requirements.

Conclusion

By combining autonomous coding with expert oversight, Firstsource helped the client eliminate a massive operational backlog while restoring speed, accuracy, and financial stability. What began as a crisis response ultimately evolved into a scalable, AI-driven coding model that strengthened the client’s operations and supported future growth.