65% Less Manual Work: Healthcare Document Automation With AI

Our client is a leading US-based healthcare technology provider specializing in hub services—a sophisticated support ecosystem that streamlines patient access to specialty medications. In the high-stakes pharmaceutical sector, the company’s mission is to help navigate the administrative friction that often stands between a patient and life-critical therapy, thereby improving time to treatment initiation (TTI) by every moment saved.

The patient journey begins with an enrollment form submitted by a physician’s office. However, because every drug manufacturer and brand uses proprietary forms with unique layouts, labels, and field groupings, there is no universal document format.

Previously, parsing these documents was a grueling, highly inefficient engineering bottleneck. An entire operations team had to manually audit each unique form format, find critical data fields by eye, and manually write custom code to map those points to the client’s internal database. This approach was highly unsustainable and error-prone.

Facing a sharp seasonal spike in workload, the client approached NIX, their long-standing partner, to support their manual efforts. Recognizing the limitations of adding more headcount to a labor-intensive process, our experts instead proposed transforming this fractured, document-heavy workflow with an AI-driven enrollment form processor, pioneering a new standard for healthcare document automation.

As a result of this collaboration, our client received a fully functional AI form processing service that autonomously converts diverse enrollment forms into structured, actionable data. The solution is currently deployed on the company’s testing AWS infrastructure to process real-world enrollment forms and streamline the operations team’s workflow.

The project is now in an active refinement phase for final production deployment and UI integration. Following a thorough handover, the client’s internal .NET team is fully equipped with the code and documentation to scale the tool independently.

• 90% faster processing, reducing new drug enrollment form turnaround times from several days to just a few hours.
• 65% of the workload is automated, allowing the team to handle seasonal spikes without adding headcount.
• Up to 95% accuracy achieved, elevating field-mapping precision from an initial 70% in the PoC to a highly reliable, production-ready standard.