HEALTHCARE · PATIENT ACCESS

AI Patient Access for Health Systems

Stop losing referred patients between the referral and the first visit. OutcomeCatalyst connects your EHR, referral intake, insurance eligibility, prior authorization, and scheduling into one view, so you can see where patients stall, why, and what each delay costs you in care and revenue.

AI patient access: common questions

What is AI-driven patient access?

It is a connected view across your referral intake, EHR, eligibility, prior authorization, and scheduling systems that shows where referred patients are delayed or lost before their first visit, and why.

How does it reduce referral leakage?

By surfacing every referral that is stuck and the exact blocker behind it (eligibility not run, prior authorization pending, no open slot, not yet contacted), ranked by value and delay, so your team can act before the patient goes elsewhere.

How is this different from our EHR or scheduling system?

Each of those systems holds one piece. OutcomeCatalyst connects the referral, the eligibility check, the authorization, and the open slot into one model, so the reason a patient is waiting is visible in one place instead of buried across systems.

Unified operating layer to harness artificial intelligence. Connect fragmented data, create agentic workflows, enable faster decisions across your company.

© 2026 OutcomeCatalyst. All rights reserved.

Unified operating layer to harness artificial intelligence. Connect fragmented data, create agentic workflows, enable faster decisions across your company.

© 2026 OutcomeCatalyst. All rights reserved.

Unified operating layer to harness artificial intelligence. Connect fragmented data, create agentic workflows, enable faster decisions across your company.

© 2026 OutcomeCatalyst. All rights reserved.