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Change HealthcarewithH2O.ai

How Change Healthcare uses H2O.ai

ConfirmedVendor case study · Checked Oct 24, 2026
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The use case: how Change Healthcare deploys H2O.ai

Change Healthcare uses H2O.ai to build machine learning models across very large volumes of insurance claims, find denied claims that could be reworked, verify insurance claim audits (whether diagnosis codes and hospital charges were coded and billed correctly), and predict Medicaid eligibility.

In the customer’s words

H2O has been the driver for building models at scale. We are talking about billions of claims. You can't do this with standard off the shelf open source techniques.
Adam Sullivan, Director, Change Healthcare — Source

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Based on H2O.ai’s published case study. We check the public evidence; the results are reported by the vendor.

h2o.ai
Last checked
Oct 24, 2026
h2o.aiCaptured H2O.ai case study about Change HealthcareOpen source capture
What the story claims, and what we checked

What we compared with the page.

  • The passage quoted aboveChecked

    Copied word for word from the page, near the name of Change Healthcare.

  • Change Healthcare uses H2O.aiChecked

    Confirmed line.

  • The result itselfNot checked

    We quote it; we did not measure it.

With a network of hundreds of thousands of providers and thousands of insurance companies with billions of claims per month, improving claims management is a huge challenge. AI is critical to finding denied claims that could be reworked and helping patients find cost effective procedures.
From the page. h2o.ai