10 March 2022 | News
As the industry begins to embrace the power of AI, the lakehouse brings patient, research, and operational data together at scale to deliver new innovations in research and care
Photo Credit: Freepik
Databricks, the Data and AI company and pioneer of the data lakehouse paradigm, launched the industry's first lakehouse platform for organizations across the healthcare and life sciences industries.
The Databricks Lakehouse for Healthcare and Life Sciences eliminates the need for legacy data architectures which have historically inhibited innovation in patient care and drug discovery by creating data silos and making advanced analytics difficult.
With a single platform for data management, analytics and advanced AI use cases like disease prediction, medical image classification, and biomarker discovery, healthcare organizations can deliver on the promise of precision medicine.
"One of the biggest challenges facing healthcare organizations today is building a comprehensive view of the patient. The Databricks Lakehouse open and collaborative platform builds patient views across care pathways. By unifying our data in a single platform with a full suite of analytics and ML 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
Databricks’ Lakehouse helps Healthcare and Life Sciences organizations in jumpstarting their analytics projects and save weeks to months of development time for data engineers and data scientists.
"Lakehouse for Healthcare and Sciences accelerates the development of novel therapeutics and fundamentally change the way care is delivered by going from measuring disease to predicting it," said Michael Sanky, Global Industry Lead for Healthcare and Life Sciences at Databricks