Funding Round

Medallion Secures $43M for AI Healthcare Automation

Medallion, an AI healthcare automation platform, secured $43 million in new funding. This investment brings Medallion's total funding to over $130 million.

StartupHub.ai Staff

By StartupHub.ai Staff, reviewed by Daniel Singer, Editor

1 min read

Medallion Secures $43M for AI Healthcare Automation

Medallion, an artificial intelligence platform provider focused on healthcare automation, secured $43 million in new funding. Acrew Capital led the round, bringing Medallion's total funding to over $130 million.

The company automates manual back-office duties for healthcare organizations. It streamlines credentialing, enrollment, and compliance management. Medallion's platform delivers essential healthcare automation.

Medallion Launches CredAlliance for Payers

Medallion also introduced CredAlliance, a shared credentialing infrastructure system for payers. This new service verifies healthcare providers once. It then syndicates results across a network, reducing duplication.

Redundant credentialing efforts cost the healthcare system over $1.2 billion annually.

The United States has more than 4 million providers. Each contracts with an average of 19 payers, creating over 25 million annual credentialing events. Medallion's solution significantly cuts this administrative burden.

Medallion's platform onboards providers over 40 times faster than traditional processes. It reduces onboarding time from eight days to under two hours. The company also implemented advanced workflow automation, including AI phone agents and data ingestion tools.

CredAlliance is currently live with major national healthcare payment providers. Customers include CareSource and Valor Health Plans. Competitors in this space include VerityStream and Modio Health.

Sources

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TopicsAcrew CapitalAIFundingHealthcare AutomationHealthTechMedallionWorkflow Automation

StartupHub.ai Staff

Written by

StartupHub.ai StaffEditorial team

The staff writers of StartupHub.ai, ranging from investment analysts to avid AI tool users, early adopters and critical enthusiasts. Backgrounds span engineering, business and the arts. We hold every piece to rigorous standards of research and review.

Daniel Singer

Reviewed by

Daniel Singer is an AI expert who has been writing about, covering and building AI technology since 2018.

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