Case Study: Anterior achieves 99%+ accurate prior authorization workflows with Reducto

How Anterior Accelerates Prior Authorization and Clinical Decision-Making with 99%+ Accuracy

Anterior, a fast-growing health technology company, faced the challenge of processing unstructured clinical documents for prior authorization, a critical but slow administrative process in healthcare. Their AI agent, Florence, required highly accurate document ingestion to automate workflows, as even minor errors are unacceptable in this high-stakes field. They turned to vendor Reducto to build a reliable document parsing foundation.

By implementing Reducto's API, Anterior gained a solution that extracts data with high accuracy, understands complex layouts, and provides precise citations. This allowed them to process over 20,000 documents with 99.24% accuracy, completing 95% of reviews within one minute. The partnership with Reducto enabled Anterior to build trust and confidently automate approvals, drastically accelerating patient care.

Anterior

Anuj Iravane

AI Research Lead