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Case Study · Healthcare
Healthcare Data Platform and AI Transformation for a Large US Healthcare System
Clinical data, unified and governed - a Google Cloud AI platform that moves clinical models from pilot into production.
Data PlatformsAI PlatformsCloud Foundation
Enterprise overview
Large US healthcare system
28
Hospitals
150+
Clinics
52,000+
Employees
A large US healthcare system operates across dozens of hospitals and clinics, with clinical data trapped in silos and AI initiatives stuck at the pilot stage.
The Problem
Clinical AI stuck in pilots, held back by fragmented data.
Data silos
Clinical, operational and research data lived apart.
Governance gaps
No shared model for sensitive-data access.
Pilot fatigue
AI projects stalled before reaching clinicians.
The Zappsec Solution
A governed Google Cloud data and AI platform.
- 1Unified data platform
Clinical, operational and research data unified in BigQuery with governed access.
- 2Interoperability
Healthcare interoperability patterns brought data into a common shape.
- 3Production AI
Vertex AI pipelines moved models from pilot into clinical use.
Architecture
Reference architecture at a glance
Outcomes
Outcomes that changed the operating model
23%
Reduction in 30-day readmissions
Clinical models moved from pilot into production.
Governed
Clinical data platform
Sensitive-data access became a shared, auditable capability.
Clinical AI became a repeatable capability, not a series of one-off pilots.
Technologies and platforms
The stack behind the transformation
Google CloudBigQueryVertex AITerraform
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What could this architecture unlock for your enterprise?
Talk with a Zappsec architect about the cloud, network, security, identity or data platform behind your next transformation program.