Experian Health’s 3rd Annual State of Claims Survey Finds Denials Still on the Rise Amid Escalating Challenges
Providers have high interest in AI as solution, but adoption is still low
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Numbers Trending in the Wrong Direction
The survey reveals growing challenges in critical areas affecting financial performance and operational efficiency for providers, including:
- 54 percent of providers say claim errors are increasing
- 68 percent of providers find submitting “clean” claims are more challenging than a year ago
- 43 percent of providers report being understaffed
- 90 percent of claim denials are reworked with at least some human review before resubmission
What’s to blame for claim denials?
A majority of providers (82%) say that reducing denials is a priority. The top three reasons for claim denials remain the same year over year:
- Missing or inaccurate data (50%), up from 46% in 2024
- Authorizations (35%), 36% in 2024
- Incomplete or inaccurate patient registration data (32%), up from 30% in 2024
“The sustained increase in claim denials, coupled with persistent data quality issues paints a clear picture that providers need to lean into technology and AI’s potential to address these challenges,” said
Errors and delays directly affect revenue and cash flow and make the need for technology more urgent than ever.
AI: High Knowledge, Low Adoption
Although a majority of survey respondents (62%) say they are well-versed in AI, automation, and machine learning (a significant leap from 28% in 2024), only 14 percent are using it. Of that small group using AI, more than two-thirds (69%) say AI solutions have reduced denials and/or increased the success of resubmissions.
“Last year, we invested in Experian Health’s Patient Access Curator and one year in we are already seeing the return on investment,” said
In the last year, 41 percent of survey respondents said they upgraded their claims management technology with 56 percent saying their current technology is sufficient to address revenue cycle demands (far below the 77 percent in 2022).
So why aren’t more providers adopting AI? The survey found the top reasons include:
- Unproven accuracy
- Unproven HIPAA compliance
- Daunting training for teams
- Skeptical of AI “understanding” payer-specific rules
Access the free State of Claims report here. The survey was conducted among 250 healthcare professionals responsible for financial, billing, or claims management decisions.
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