Beyond EHR: Building an AI-ready Healthcare Data Infrastructure

Beyond EHR: Building an AI-ready Healthcare Data Infrastructure

Wednesday, March 11, 2026 11:00 AM to 12:00 PM · 1 hr. (US/Pacific)
Level 2 | Venetian C
Views From the Top
Digital Health Transformation

Information

Discover how pioneering health systems are leveraging AWS—recognized as 2025 Best in KLAS for public cloud—to transform their EHR implementations from operational necessities into strategic differentiators. Moving far beyond traditional "lift-and-shift" approaches, these organizations built an AI-ready data foundation that connects disparate data systems and unlocks new capabilities across the care continuum. Health system leaders will share their journey of implementing AWS' comprehensive suite of HIPAA-eligible services spanning storage, analytics, machine learning, and interoperability solutions—creating a unified data strategy that breaks down silos between clinical, financial, and operational systems.

Attendees will explore real-world examples of:

1. AI-powered clinical decision support delivering contextual, real-time insights at the point of care

2. FHIR-based interoperable networks connecting previously isolated systems and data sources

3. Personalized digital front doors that combine EHR data with consumer preferences, significantly increasing appointment adherence and preventive screening rates

4. Intelligent workflow automation with ambient clinical intelligence that reduces documentation burden while improving clinical note qualitySpeakers will address common challenges in data normalization, semantic interoperability, and building scalable ML pipelines without requiring specialized data engineering expertise.

Target Audience
Chief Innovation OfficerCIO/CTO/CTIO/Senior ITCMIO/CMO
Level
Intermediate
Format
Panel Discussion
Learning Objective #1
Discover strategies to leverage clinical data beyond traditional EHR systems to create actionable insights and drive healthcare innovation.
Learning Objective #2
Implement architectural approaches for building AI-ready healthcare data foundations that transform siloed clinical information into strategic assets for improved clinical and operational workflows.
Learning Objective #3
Explore real-world examples of how leading health systems have successfully implemented AWS solutions to unlock the full value of their clinical data for advanced analytics, machine learning, and precision medicine initiatives.
Session #
98

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