Four data challenges in healthcare and life sciences
Fragmented patient data
Data silos and limited support for unstructured data prevent organizations from understanding the patient journey.
Rapidly growing health data
Legacy on-premise data architectures are complex to manage and costly to scale for today’s massive volumes of healthcare data, including growth in imaging and genomics.
Real-time care and operations
Data warehouses and disjointed tools impede the delivery of real-time insights needed for critical care decisions and the safe production and delivery of important therapeutics.
Complex advanced health analytics
Lightweight ML capabilities are preventing organizations from tackling everything from next-gen patient care models to predictive analytics for drug R&D.
Lakehouse for Healthcare and Life Sciences
Unified data and AI platform
A single platform that brings together all your data and analytics workloads to enable transformative innovations in patient care and drug R&D.
Partner solutions
The world’s leading healthcare and life sciences solution providers such as Deloitte, Accenture, and ZS Associates are building for the lakehouse. Take advantage of pre-built offerings that accelerate data-driven transformation in drug R&D and patient care.
Tools to accelerate
Databricks and our partners have built a suite of Solution Accelerators that make it easy to ingest healthcare data, such as HL7 messages, and deliver on use cases like medical text analytics and drug safety monitoring.
Industry collaboration
Enable secure and open data sharing and collaboration with organizations across the health ecosystem to accelerate life-saving research and improve how you deliver care.
Delivering the future of care with Lakehouse
“The Databricks Lakehouse for Healthcare and Life Sciences provides GE Healthcare with a modern, open and collaborative platform to build patient views across care pathways. With these capabilities, we’ve diminished costly legacy data silos and equipped our teams with timely and accurate insights.”
— Joji George, Chief Technology Officer, LCS Digital, GE Healthcare

Why Lakehouse for Healthcare and Life Sciences?
Accelerate research and improve patient outcomes on an open, collaborative platform for data and AI
360° view of the patient
Bring together all your structured and unstructured data — patient, R&D and operations — on a single platform for analytics and AI. With a holistic view of the patient journey, organizations can deliver more personalized treatments.
Infinite scale for population-level studies
Quickly and reliably analyze data for millions of patients with a scalable platform in the cloud. With population-scale insights, organizations gain a more complete view of health trends and in turn can develop better therapeutics.
Real-time analytics, real-time operations
Rapidly ingest and process streaming data from anywhere to power real-time analytics, with applications ranging from managing hospital bed capacity to optimizing the manufacturing and distribution of pharmaceuticals.
ML-powered drug discovery and patient care
Unlock the power of machine learning to better understand diseases and predict health needs. All your data is seamlessly connected with a full suite of collaborative tools for advanced analytics.
Partners and solutions
Get started with a variety of data and analytics solutions and templates specific to healthcare and life sciences
Lakehouse for Healthcare and Life Sciences in action
Improving Health Outcomes With Data and AI
Resources
eBooks
Webinars
Blogs
Amgen Accelerates Drug Development & Delivery With the Lakehouse for Healthcare and Life Sciences
Introducing the Lakehouse for Healthcare and Life Sciences
Improving Drug Safety With Adverse Event Detection Using NLP
Databricks’ Open Source Genomics Toolkit Outperforms Leading Tools
Extracting Oncology Insights From Real-World Clinical Data With NLP
Ready to get
started?
We’d love to understand your business goals and how our services team can help you succeed.

