At a glance
KLAS First Look results show strong initial performance for Experian Health’s Patient Access Curator, and all customers interviewed said they would purchase again. The report highlights PAC’s ability to improve data accuracy early in the revenue cycle, using automation, real-time data, and an advanced COB primacy engine to identify and correct coverage issues before they become denials.
Healthcare organizations are under increasing pressure to reduce denials while managing increasing administrative complexity. Much of that challenge begins in the early stages, where incomplete or incorrect coverage data leads to later rework, missed reimbursements, and unnecessary costs.
He Experian Health Patient Access Curator™ KLAS First Look Report underscores the need to correct data before it enters the revenue cycle. By combining AI, real-time eligibility, automated insurance discovery, and intelligent COB determination, the solution helps organizations validate and correct coverage within existing workflows. This reduces the likelihood that inaccurate or incomplete data will lead to subsequent denials and revenue leaks.
“We set out to take AI beyond prediction and achieve measurable performance. Patient Access Curator “It combines Experian Health data, automation and real-time insights to create a true intelligence layer for revenue cycle management.”
Jason Considine, president of Experian Health
How Patient Access Curator supports the transformation of patient access
As one customer noted: “Key strengths of the Experian Health solution are the speed at which we receive real-time eligibility results from our consultations and the integration within EHR workflows.”
According to the report, Patient Access Curator is a starter package that helps healthcare organizations identify and resolve coverage issues before submitting claims.
| Key capabilities include: |
| 1. Advanced Coverage Chaining/Coordination of Benefits (COB) Determination: Determines primary and secondary coverage by analyzing payer responses and automatically establishes the correct COB |
| 2.Automated Insurance Discovery: Identifies missing or unknown coverage using minimal patient input. |
| 3. Trust-based automatic update logic: Confidence Scoring automatically updates high-confidence coverage directly in the EHR while flagging low-confidence results for staff to review. |
| 4. Front-end validation: Execute eligibility, insurance discovery, COB, Medicare Beneficiary Identifier (MBI), and demographic validation in a single automated workflow. |
The bottom line: a good start to front-end automation
As healthcare organizations look to strengthen revenue cycle performance, solutions that combine artificial intelligence and real-time data insights are essential. Patient Access Curator is the only solution that eliminates complex upfront decision-making with real-time, fully automated data validation and correction at the point of entry.
Download the complete KLAS First Look Report to explore detailed customer feedback, performance insights and early results from Experian Health Patient Access Curator.
Contact Experian Health
Fill out the form below to connect with a member of our sales team. For customer support, including password reset, please visit our support page.