According to a new press release, “Cloudera, Inc., the modern platform for machine learning and analytics optimized for the cloud, and MetiStream, a healthcare analytics provider, jointly announce products to improve patient outcomes. MetiStream announces it is introducing an end-to-end interactive analytics platform for healthcare and life science industries built on Cloudera’s machine learning platform. By combining machine learning and analytics from Cloudera Enterprise and Cloudera Data Science Workbench, MetiStream states that its Ember product can deliver insights across massive volumes of handwritten clinical notes as well as genomic data providing a path for healthcare organizations to cost-effectively improve genomic research and accelerate time to patient insight.”

The release goes on, “Because 80% of healthcare data is unstructured, it becomes difficult for legacy data storage and analytics platforms to process, analyze and correlate across a patient population. The advances of Cloudera’s platform with MetiStream’s healthcare analytics solution now give organizations the ability to capture relevant information from diverse healthcare datasets such as unstructured clinical notes, genomics, imaging, and EHR data and correlate the data for insight, allowing them to identify patient risk, improve service quality, and enhance physician-patient collaboration according to Chiny Driscoll, chief executive officer at MetiStream.”

Read more at PR Newswire.

Photo credit: Cloudera