Case Study: American Medical Association improves prior authorization efficiency with Tredence AI solution

Transforming Prior Authorization with AI-Driven Solution

American Medical Association (AMA) faced a major prior authorization challenge, with physicians spending significant time on approvals and many authorizations delaying access to care. The high volume of requests led to manual processing, errors, and slow decisions for payers managing large networks of providers.

Tredence implemented an AI-driven prior authorization solution that uses machine learning and up-to-date medical coverage guidelines to automate request adjudication, reduce manual reviews, and speed up decision-making. Tredence also added user-friendly portals and automated triggers to improve transparency and workflow efficiency, helping reduce processing time, lower costs, improve accuracy, and support faster provider responses.

American Medical Association