Tag: patient access curator

Claims management is under pressure as payer changes, data errors and rising volumes drive denials and delays. This guide explains how automation and better data can improve accuracy, efficiency and reimbursement outcomes.

Bad debt in healthcare is increasing as patients take on more financial responsibility. Providers can reduce their exposure by leveraging digital tools to strengthen front-end data accuracy and improve patient financial engagement.

From AI-powered claims management tools to revenue cycle automation, artificial intelligence (AI) and automation in healthcare are being adopted in countless ways – and providers are already seeing the benefits.

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.

Experian Health’s Patient Access Curator helped Columbus Regional Health (CRH) improve front-end accuracy after a vendor outage exposed workflow gaps. With Patient Access Curator, CRH reduced eligibility denials by 41%, and coordination of benefits and registration denials by 37%, while achieving 97% coverage accuracy.

Rising healthcare costs refer to the increasing financial burden of medical care for patients and providers, driven by higher service prices, insurance complexity and out-of-pocket expenses. These rising costs are causing patients to delay care, increasing financial strain and creating new challenges for healthcare revenue cycles.

Sweeping changes to healthcare coverage and reimbursement under the One Big Beautiful Bill Act (OBBBA) are set to put pressure on patient access. In the second webinar in Experian Health’s three-part series on OBBBA, industry leaders discussed how front-end accuracy is now the frontline in revenue protection. The discussion covered how automation and artificial intelligence (AI) can help protect patients and revenue as coverage becomes more volatile.

Experian Health’s new denial management survey shows that preventable errors at registration continue to drive denials, making front-end data accuracy and automation essential to reduce rework, protect revenue and submit cleaner claims the first time.

Experian Health’s latest State of Patient Access 2026 survey captures how patients and providers feel patient access has changed over the past year. This article highlights where progress is most visible, along with opportunities for further improvement, such as appointment speed, financial clarity and front-end data accuracy.