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FairScript chooses Banjo Health to drive pre-authorization – Press Release

WASHINGTON, October 5, 2022 /PRNewswire/ — Banjo Health, a healthcare technology startup focused on automating the prior approval process, has formed a strategic partnership with FairScript, an innovative pharmacy benefit management (PBM) company that offers industry-leading solutions. FairScript will offer Banjo Health’s AI-powered pre-authorization platform as part of its offering to its payment partners.

Banjo Health was selected by another PBM for its innovative prior authorization platform

FairScript offers healthcare payers pharmaceutical plans that are specifically tailored to the unique needs of their members. Their bespoke approach is characterized by cost-effective, high-quality, gold-standard transparency – with full access to all costs and contracts, while providing first-class customer service. Their unique model encourages member satisfaction while offering the lowest cost to both members and the plans that serve them.

FairScript has partnered with Banjo Health to take member satisfaction a step further while reducing the workload of the pre-authorization team. Banjo’s unique platform gives FairScript the flexibility to quickly verify appropriate maintenance while automatically updating forms workflows, dramatically reducing the time members spend on maintenance when they need it most.

“We are very pleased to be working with such a renowned PBM. FairScripts The unique model is a perfect use case for Banjo Health’s AI-powered platform. The way payers and PBMs are approaching PA is changing and the automated workflows will allow them to continue to provide exceptional care with the added complexity,” said Saar Mahna, Founder, Chairman and CEO of Banjo Health.

Learn more about the benefits of FairScript pharmacies by visiting FairScript.com

About Banjo Health

Banjo Health has developed an intelligent pre-approval platform that reduces friction in a tedious process. The platform’s artificial intelligence reviews clinical criteria and patient data to make decisions automatically…

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