CAQH (DataSpring) · February 2026

2025 CAQH Index

CAQH (DataSpring)'s 2025 CAQH Index (February 2026; fielded 2024 transaction year) found that 25% of provider organizations use AI tools in administrative workflows (vs. 50%+ of health plans).

Read the original report ↗Cite2 min read · Summary updated
Administrative spend fell more in medical than in dentalPercent reduction in administrative spend, 2025 CAQH Index (2024 data)
Medical
9%
Dental
4%
Source: CAQH, 2025 CAQH Index, 2026.

Key findings

  1. 01
    U.S. healthcare avoided an estimated $258 billion in administrative costs in 2024 through electronic transactions, a 17% increase in cost avoidance.
  2. 02
    A further $21 billion savings opportunity remains from fully automating manual and partially manual transactions.
  3. 03
    More than 50% of health plans and 25% of provider organizations use AI tools in administrative workflows.

By the numbers

$258Bin administrative costs avoided in 2024 through electronic transactions and data exchange
$21Bremaining savings opportunity from fully automating manual and partially manual transactions
25%of provider organizations use AI tools in administrative workflows (vs. 50%+ of health plans)

What it means for you Draft

For executives at $10–100M companies

For B2B firms that serve healthcare, this is a clear map of where admin work is still manual and expensive. The takeaway for everyone else may be that the biggest savings came from plain automation and standard data exchange, with AI layered on top, not the other way around.

Limitations

High trust.Long-running industry index based on transaction data, not opinion; nonprofit publisher; AI questions are a small new component.

The headline figure measures the “Approved” stage of adoption (sanctioned in a function).Why adoption numbers disagree

Cite the original

CAQH (DataSpring). "2025 CAQH Index." February 19, 2026. https://www.dataspring.com/blog/2025-caqh-index-shows-u.s.-healthcare-avoided-258-billion-and-accelerated-automation-interoperability-and-ai-adoption