Search Results for: artificial intelligence

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.

Missing or incomplete documentation, coding errors, and duplicate claims are among the most preventable claims errors. However, staffing shortages, inefficient workflows, and denial management headaches may also lead to mistakes. Learn more about the common reasons for claims errors and how to avoid them.

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.

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.

When patient eligibility verification is conducted diligently and accurately, providers see improved cash flow, more staff efficiency and less bad debt.

The One Big Beautiful Bill Act overhauls federal healthcare funding, coverage and eligibility verification, with major implications for revenue cycle performance. The first webinar in Experian Health’s three-part series focused on the key policy changes and what healthcare organizations should do now to prepare.

Providers must adopt OBBBA preparation strategies and new technologies to brace for the impact of increased self-pay patients, who account for the highest percentage of bad-debt write-offs, as well as additional administrative and documentation requirements, such as stricter eligibility checks and reporting mandates.

Modern revenue cycle optimization leverages AI and automation to help healthcare organizations capture revenue and maintain a healthy cash flow. This article outlines proven strategies for streamlining operations across the revenue cycle — from patient access and collections to claims and payer contract management.