At A Glance
KLAS First Look findings show strong early performance for Experian Health’s Patient Access Curator, with all interviewed customers saying they would buy again. The report highlights PAC’s ability to improve data accuracy at the front end of 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 growing administrative complexity. Much of that challenge starts upstream, where incomplete or incorrect coverage data leads to downstream rework, missed reimbursements and unnecessary costs.
The KLAS First Look report on Experian Health’s Patient Access Curator™ underscores the need to fix 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 leads to downstream denials and revenue leakage.
“We set out to move AI beyond prediction and into measurable performance. Patient Access Curator combines Experian Health data, automation and real-time insights to create a true intelligence layer for revenue cycle management.”
Jason Considine, President at Experian Health
How Patient Access Curator supports patient access transformation
As one client noted: “The key strengths of Experian Health’s solution are the speed at which we are receiving real-time eligibility results from our queries and the integration within EHR workflows.”
According to the report, Patient Access Curator is a front-end package that helps healthcare organizations identify and resolve coverage issues before claims are submitted.
| Key capabilities include: |
| 1. Advanced coverage chaining/coordination of benefits (COB) determination: Determines primary and secondary coverage by analyzing payer responses, and automatically establishes correct COB |
| 2. Automated insurance discovery: Identifies missing or unknown coverage using minimal patient input |
| 3. Confidence-based automatic-update logic: Confidence scoring automatically updates high-confidence coverage directly in the EHR while flagging low-confidence results for staff review |
| 4. Front-end validation: Runs eligibility, insurance discovery, COB, Medicare Beneficiary Identifier (MBI), and demographic validation in a single automated workflow |
The bottom line: A strong start for front-end automation
As healthcare organizations look to strengthen revenue cycle performance, solutions that combine AI and real-time data insights are essential. Patient Access Curator is the only solution that removes complex front-end decision-making with fully automated, real-time data validation and correction at the point of intake.
Download the full KLAS First Look report to explore detailed customer feedback, performance insights and early outcomes from Experian Health’s Patient Access Curator.
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