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Change Healthcare uses H2O.ai to build models across billions of claims, verify audit accuracy, and predict Medicaid eligibility.
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.
“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 SullivanDirector
Verification of insurance claim audits with a machine learning setting to determine whether a certain diagnosis code was coded correctly or whether a hospital charge was billed correctly.
“H2O.ai has been one of the few machine learning companies that really acknowledged our restrictions on what we can and can't do with our data. A lot of the security features in H2O-3 were built directly for our company.”Tate CampbellData Scientist
Verification of insurance claim audits with a machine learning setting to determine whether a certain diagnosis code was coded correctly or whether a hospital charge was billed correctly.
“Our team uses H2O for model evaluation, variable importance, and interpretability, and it makes so much of that legwork easy. We have gotten so used to it that it's hard to imagine doing my job without it.”Tate CampbellData Scientist