Payer and patient correspondence plays an important role in revenue cycle operations, but manually sorting, separating, indexing, and routing incoming documents can slow teams down, add complexity, and create opportunities for errors.

 Join Hyland experts for a practical look at how Intelligent Correspondence for Revenue Cycle uses generative AI and large language models to help separate, classify, extract, and route correspondence received through mail, fax, email, lockboxes, and payer portals.

 The session will also cover new enhancements that can separate multi-patient remittances into individual patient records, giving teams another way to reduce manual effort, improve accuracy, and keep reimbursement workflows moving.

 Learning Objectives

• See how AI can support the intake and processing of payer and patient correspondence.

• Learn how automated document separation, classification, indexing, and multi-patient remittance processing can reduce manual work and improve accuracy.

• Understand how intelligent routing can help teams move correspondence through reimbursement workflows more efficiently.