Build a Healthcare Data Lakehouse
Databricks’ Healthcare Data Lakehouse
Deliver better patient outcomes with the power of data & AI.
Enable Data to Drive Performance
By simplifying the management and utilization of healthcare data at scale to drive analytics, business utilization, and digital transformation.
Enables use cases like AI/ML, BI dashboards, and APIs
Simplifies your ETL/ELT
Complies with modern data standards like FHIR®
Ensures a higher Return on Investment
Uncover Actionable Insights From Your Healthcare Data With 314e + Databricks
With decades of experience in working with hospitals & health systems, 314e takes care of the complete implementation of Databricks Lakehouse (Delta Lake) on the cloud with the help of:
Pre-built interoperability and ETL accelerators to integrate data from the most popular EMR systems such as Epic, Cerner, MEDITECH, Allscripts, and eClinicalWorks
ETL accelerators to bring in health claims data from multiple payers
Healthcare standards-compliant data models for clinical and claims data
Pre-built connectors to extract and integrate data from commonly used non-clinical systems
A solution-accelerator for AI/ML that simplifies the task of representing healthcare clinical and claims data as feature-rich data for input into predictive models
Deliver the Future of Care
With Databricks’ Data Lakehouse
Enable the unification of your organization’s data warehousing, and AI use cases on a single platform.
Built a Modernized Data Lake Platform for an Academic Medical Center on the East Coast
Enabled and enhanced collaboration between the research division and the modernized Data Lake Platform's FHIR®-based solutions
Eliminated the need to set up a separate data platform for research purposes, thereby saving millions of dollars in research costs
Supported various use cases, including regulatory/compliance reporting, data archival, AI & ML processes, and real-time disease surveillance
Wish to Utilize Healthcare Data at Scale?
Get in touch with our experts.
Empower your healthcare decisions