Providers can reduce bad debt by leveraging digital tools to strengthen front-end data accuracy and improve patient financial engagement.

The impact of AI and automation in healthcare is just beginning. Learn how these tools can help reduce claim denials, manual tasks, and more.

KLAS First Look findings show strong early performance for Experian Health’s Patient Access Curator, which improves front-end data accuracy.

Discover how implementing a patient payment estimator can provide clear cost breakdowns, improve patient satisfaction and streamline collections.

Patient access is improving in some areas, but the journey is still being shaped by two major forces: administrative complexity and cost.

Experian Health’s Patient Access Curator helped Columbus Regional Health reduce claim denials, while achieving 97% coverage accuracy.

Coverage Discovery helps providers identify insurance coverage to reduce denials, accelerate reimbursements, and minimize bad debt.

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.

Learn how rising healthcare costs affect patients and what healthcare providers can do to keep revenue cycles on track. 

Sweeping changes to healthcare coverage and reimbursement under the One Big Beautiful Bill Act are set to put pressure on patient access.

Experian Health’s new denial management survey shows that preventable errors at registration continue to drive denials.

Learn how healthcare providers can use automation and digital tools to calculate patient responsibility in medical billing.