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    How Hanger Clinic’s AI Partnership Is Reshaping Orthotic and Prosthetic Care

    A partnership with Hyperscience helps the prosthetics provider lay the groundwork for data-driven rehabilitation

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    How Hanger Clinic’s AI Partnership Is Reshaping Orthotic and Prosthetic Care

    Hanger Clinic, USA's largest provider of orthotic and prosthetic (O&P) care, is deepening its digital transformation by implementing the Hyperscience Hypercell platform across its more than 925 patient-care locations. The move aims to automate how clinical and administrative data are ingested and processed, an effort designed to reduce manual paperwork, accelerate authorizations, and allow clinicians to spend more time on patient care.

    Hanger’s 1,700 board-certified clinicians treat tens of thousands of patients each year, producing a steady flow of referral forms, insurance authorizations, and outcome reports. Much of that information has traditionally been managed through paper-based systems that slow reimbursement and increase administrative burden. By integrating Hyperscience’s AI infrastructure, Hanger expects to transform these manual workflows into structured, machine-readable data.

    “Despite rapid advancements in medical treatments and patient care, much of the healthcare industry remains burdened by outdated, paper-based processes,” said Andrew Joiner, CEO of Hyperscience. “Our partnership with Hanger Clinic reflects the growing demand across healthcare for automation that’s purpose-built to solve real-world complexity. We’re proud to support Hanger Clinic’s transformation journey and help them unlock the full potential of their data to drive faster, more efficient processes and ultimately improve patient care.”

    The Hyperscience Hypercell platform converts diverse document types, ranging from consent forms to claims, into structured data that can flow between systems such as billing, authorization, and electronic health records. The technology is already used by institutions including the U.S. Department of Veterans Affairs and the Social Security Administration, both of which face similar data-intensive administrative challenges.

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