Register for the Free Webinar Today!

    Live session includes direct Q&A with engineering and technology leadership.​

    AI-Driven EMR Integration & Consolidation:

    Accelerating Compliance Reporting and
    Healthcare Analytics with Snowflake

    Meet our speakers:
    Eric Brosius

    Vice President Technology Services, Sun River Health

    Fuad Nour

    Managing Director, Healthcare, Anblicks

    Zachary Zitko

    Vice President, Healthcare, Anblicks

    October 20th, 2026 | 1:00 p.m. CST
    Register for the Free Webinar Today!

      Live session includes direct Q&A with engineering and technology leadership.​
      15 Disparate EMRs
      Unified into a single governed core
      Zero Disruption
      Delivered across 11 implementation months
      80% Faster Processing
      Accelerated with AI-assisted pipelines
      24-Hour Integration
      Standardized for rapid client and clinic onboarding

      Why Attend?

      Scaling healthcare analytics across fragmented clinical networks introduces significant operational risk. While AI adoption is accelerating, integrating disparate EMR platforms often threatens live clinical workflows.

      This executive briefing reveals how Sun River Health replaced legacy SQL Server environments with Snowflake. Learn how practical AI tools, automated engineering, and unified data models eliminated 250+ redundant stored procedures without production downtime.

      What You Will Take Away

      • Zero-Downtime Playbook: Proven framework to execute a 15-platform migration to Snowflake with zero production outages.
      • 75% Faster Reporting: How modern ingestion pipelines cut daily clinical extraction cycles from 8 hours down to under 2.
      • AI-Driven Data Automation: Applying intelligent tooling and automated engineering to accelerate processing workloads by 80%.
      • Rapid Source Onboarding: Compressing new clinical integration timelines from over a week to roughly 24 hours.
      • Retiring Technical Debt: Safely replacing 250+ duplicate stored procedures across 1,500+ data objects.
      • Live Technical Q&A: Direct, unfiltered access to our team who executed the migration.
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