How a Healthcare Technology Company Automated Tens of Thousands of Monthly Faxes with 99% Accuracy Using Medsender’s Fax API

This is a blind case study for privacy.

Every month, thousands of faxes from payors arrive at this healthcare technology company. Each one contains critical information for benefits eligibility and prior authorization.

But their existing fax solution wasn’t accurate enough. Errors kept slipping through, forcing staff to manually review each document before the data was usable and accurate in their platform.

As the volume of documents grew, so did the problem:

• Physician assistants and providers were pulled away from their core responsibilities to validate data.
• The technology company had to keep adding staff to grow with the workload.
• The accuracy gap created scalability issues and a rising cost structure for their product.

Product leaders recognized that this bottleneck was hindering growth. The weakest link in their workflow wasn’t their platform itself; it was the inefficiency, mounting costs, and inability to scale caused by inaccurate fax intake.

After evaluating four vendors, the company selected Medsender’s AI Fax API due to its accuracy, healthcare-specific training, and flexibility in use cases.

With Medsender, faxes are no longer a burden:

• Tens of thousands of monthly faxes are automatically ingested and processed
• Data extracted with 99% accuracy
• Patient case matching is automated, significantly reducing manual workload.
• Structured data delivered directly into the platform, with no expert review required.

Implementation was seamless. Developers integrated quickly using Medsender’s API documentation, and automation went live without any disruption to customers.