Live Webinar

From Fragmented Patient Records to an AI-Ready Healthcare Foundation

The biggest barrier to trusted healthcare AI is not the model. It is the fragmented data beneath it. Healthcare organizations have extensive patient data, but without a single source of truth, reports conflict, insights remain incomplete, and AI inherits the same uncertainty.

Join Microsoft and Simform for a live session on building a unified patient data foundation with Microsoft Fabric for reliable healthcare analytics and AI.

📅 27th Aug 2026, 9 – 10 AM PT

50+ PB

of data generated across 10+ siloed healthcare systems annually

97%

of healthcare data remains unused or unanalyzed

 

18%

average duplicate patient records exist before identity resolution

What you’ll learn:

Watch our experts break down practical strategies and proven approaches for:
  • Why fragmented EHR, imaging, claims, financial, and operational data undermine analytics accuracy and AI readiness.
  • The reference architecture for consolidating multi-modal healthcare data in OneLake and standardizing clinical information using FHIR.
  • How Simform’s Patient360 accelerator resolves duplicate patient records and builds a trusted longitudinal patient profile.
  • The reusable Fabric schema that turns consolidated patient data into a foundation for reporting, segmentation, and AI.
  • How to enforce governance controls to preserve data quality, lineage, security, and access across sensitive healthcare workflows.
  • A practical roadmap toward an AI-ready healthcare enterprise: where to start, what to sequence, and how to show value early.

Meet Our Speakers

Ritesh Shah

Field CTO, Simform

Tanguy Carrere

Digital Sales Director, Cloud & AI Platforms, Microsoft

Certified to deliver on Microsoft’s highest standards 

As an Azure Expert MSP and Microsoft Solutions Partner across key solution areas, Simform meets Microsoft’s most rigorous benchmarks for architectural excellence, operational maturity, and customer impact. Each designation reflects validated technical depth, successful enterprise deployments, and a consistent track record of delivering measurable business outcomes.

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