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AI in the Revenue Cycle: Early Adopters Report Significant Workflow and Financial Gains

7/18/2025 • KLAS Research Report • License: Proprietary
KLAS Research (KLAS Research)

Abstract

This industry report from KLAS Research, based on interviews with 50 health system executives, quantifies the impact of AI in revenue cycle management. Early adopters of AI-powered coding and billing automation reported an average 30% reduction in administrative costs and a 15% decrease in claim denial rates. The report highlights improved staff satisfaction due to the reduction of repetitive tasks as a key, non-financial benefit.

Clinical implications

According to a report from KLAS Research, hospitals using AI to help with billing and coding have cut their administrative costs by 30%. They also see fewer insurance denials, which helps improve their financial stability and allows staff to focus on more complex tasks.

This product uses publicly available data from the U.S. National Library of Medicine (NLM), National Institutes of Health, Department of Health and Human Services; NLM is not responsible for the product and does not endorse or recommend this or any other product. Links to third-party publications are provided for research discovery.
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