Improving Health Outcomes with Data + AI

To drive better outcomes and reduce the cost-of-care, healthcare and life sciences organizations need to deliver the right interventions to the right patients through the right vehicle at the right time. To achieve this, health organizations need to blend and analyze diverse sets of data across large populations, including electronic health records, healthcare claims, SoDH/demographics data, and precision medicine technologies like genomic sequences. Integrating these diverse data sources under a common and reproducible framework is a key challenge healthcare and life sciences companies face in their journey towards powering data driven outcomes. In this session, we explore the opportunities for optimization across the whole healthcare value chain through the unification of data and AI. Attendees will learn best practices for building data driven organizations and hear real-world stories for how advanced analytics is improving patient outcomes.

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Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.

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