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    Blogs

    How Michigan DHHS supports high quality data exchange with FHIR

    Discover how Michigan's Department of Health and Human Services optimizes modern data exchange with Rhapsody

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    Blogs

    Flexible deployment options: Why it matters

    Learn the limitations of cloud only solutions and why you need a solution that meets you where you are for total interoperability in healthcare.

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    Webinars

    Webinar: How Michigan Department of Health and Human Services boosts modern data exchange with Rhapsody

    Access an interactive webinar to learn more about strategies for achieving actionable data

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    Customer stories

    A national e‑Prescription Service in the Kingdom of Saudi Arabia chooses Rhapsody to speed onboarding of new customers and optimize 3rd-party integrations

    Learn how a national e-prescription for the Kingdom of Saudi Arabia deployed Rhapsody Integration Engine in the cloud to speed the onboarding of new data-trading partners, adapt to evolving compliance standards, and meet changing market needs.

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    Webinars

    Webinar: API 201: A closer look at maximizing APIs for secure information exchange

    Access an interactive discussion about the transformative potential of APIs and how they can enhance your workflows

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    Customer stories

    Enterprise approach to interoperability using Corepoint Integration Engine allows UnityPoint Health to achieve 1,000+ days of no unplanned downtime

    Learn how UnityPoint Health uses Corepoint Integration Engine to cut interface development time and minimize infrastructure downtime.

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    Blogs

    Glossary: Healthcare Interoperability Terms and Definitions

    Find definitions of commonly used healthcare interoperability terms in this glossary.

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    Customer stories

    bioMérieux reduces deployment time by 66% with Corepoint Integration Engine

    bioMérieux relies on Corepoint Integration Engine to reduce deployment timelines and create better integration of diagnostic devices.

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    Blogs

    Why semantic interoperability is needed to build AI models in healthcare

    Why semantic interoperability and terminology management are key components in healthcare organizations' applications for generative AI

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