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Healthcare

Illustrative example

Healthcare analytics platform, rebuilt on Google Cloud

A regional healthcare network serving 3 million patients

Moving a healthcare network from slow reports to real-time decisions

<30s
query time, down from over 24 hours
Industry
Healthcare network
Scale
3M patients, 40+ source systems
Platform
Google Cloud
Engagement
Data platform modernization

The challenge

  • Data was scattered across EHR systems, medical devices, and imaging tools
  • Some analytics queries ran for more than 24 hours
  • The warehouse was slow to process data and expensive to maintain
  • That limited timely care and operational insight

What it had to do

  • Run real-time clinical analytics
  • Support AI-assisted diagnostics
  • Scale as data grows
  • Meet strict HIPAA requirements

What we built

CloudMagic built a secure, HIPAA-ready healthcare data platform on Google Cloud. We migrated 15 years of patient data with zero disruption, brought more than 40 EHR and device systems together, and set up fast, automated data pipelines for clinical and research work. The platform now holds medical records, imaging files, and operational data in one place, with strong security controls and full auditability.

HIPAA-compliant security

Strong security controls with full audit trails.

Real-time processing

Analytics fast enough to use during clinical decisions.

Unified data platform

More than 40 systems joined in one place.

Predictive analytics

AI models that flag patients for early intervention.

Reference architecture

Sources

  • EHR systems
  • Medical devices
  • Imaging

Ingestion

  • Datastream
  • Pub/Sub

Governed platform

  • BigQuery
  • Dataform
  • Cloud KMS

Serve

  • Looker
  • Vertex AI

Results

  • Complex queries now run in under 30 seconds
  • More than 1M patient records processed every day
  • Platform uptime reached 99.99%
  • Infrastructure costs fell by more than 40%

For clinicians

Risk scores and patient insights, available on demand.

For researchers

Clean, de-identified datasets for studies.

For leaders

Real-time operational dashboards.

  • BigQuery
  • Datastream
  • Pub/Sub
  • Dataform
  • Looker
  • Vertex AI
  • Cloud KMS

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