Data analytics and machine learning in healthcare

Deliver patient-centric care with the power of data and AI

Data and AI is revolutionizing how healthcare organizations treat patients and deliver value for the broader population.

Databricks empowers healthcare organizations to solve some of their hardest problems by unifying data analytics and machine learning to unlock precision care, improve patient engagement and streamline administration processes.
See our solutions for healthcare 

Leading healthcare organizations use Databricks to drive innovation in patient care

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Personalizing the pharmacy experience to enable better outcomes

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Combating COVID-19
with data and ML

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Delivering personalized medicine 
with machine learning

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HLI predicts early onset
dementia 
with deep learning

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Latest blog posts, webinars, and case studies

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Why Databricks for healthcare

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Unlock health data and
break data silos

Connect structured and unstructured data from EHRs, wearables, imaging platforms, genome sequencers and more to deliver a complete view into patient health.

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Patient insights at
population scale

Better predict health risks with analytics and AI that scale for millions of patient records in the cloud.

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Deliver reproducibility
and compliance

Collaborative analytics workspaces that bring data teams together while streamlining the machine learning lifecycle and providing regulatory-grade MLOps.

Use cases

Across the healthcare landscape, data and AI is providing insights and predictive capabilities to personalize care, automate claims and payment processing, and improve patient engagement.

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Administrative process
automation

Automate the analysis of claims and EHR data to streamline administrative workflows.
  • Claims and revenue cycle automation
  • Fraud and waste detection
  • Optimize staffing and operations

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Population health

Predict broader health risks by analyzing social, behavioral and environmental factors at scale.
  • Identify the impact of social determinants of health

  • Identify and manage undiagnosed chronic disease
  • Build predictive risk models

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Patient engagement

Optimize patient care cycles by creating tailored experiences.
  • Reduce churn through Member 360
  • Reduce healthcare costs with benefits recommendations
  • Proactively monitor patient health with digital apps

Additional Resources

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