By Diagnostics World Staff
July 2, 2018 | Today, Cloudera and MetiStream announced products to improve patient outcomes. MetiStream also announced 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.
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.
MetiStream’s Ember product works with the Cloudera Shared Data Experience (SDX), a software framework powering Cloudera Enterprise, that allows healthcare providers to bring together data from different sources and gain insight into patient health profiles. With the power and scale of the Cloudera Enterprise platform, the ability to merge clinical datasets with genomics information and apply advanced analytics now becomes possible and the result is impactful for healthcare organizations focused on enhancing genomics medicine and patient care.
“We believe that machine learning and analytics are powerful tools for understanding diseases, improving outcomes, containing costs and delivering better care where it’s needed most,” said Mike Olson, founder and chief strategy officer at Cloudera, in a press release. “Today, healthcare organizations can do what was previously impossible. They can integrate complex data sets from EHR, genomics, and imaging with machine learning and analytics at massive scale for momentous transformations in patient care, engagement, and outcomes.”
Healthcare organizations must access and process many complex and multi-structured data sets to be more prescriptive and proactive with patient care, as well as be able to more accurately report codes that impact financials and regulatory compliance. With comprehensive information that is now easier and faster to access, providers can share disease risk and prevention techniques with patients at the time of care instead of days or weeks later.
“With Cloudera, we have a unique opportunity to transform how healthcare organizations can use more comprehensive and diverse datasets to improve quality and patient outcomes. Our Ember platform delivers a better approach to how physicians and patients can interpret and analyze healthcare findings and discoveries. We believe analytics is even more powerful when insights can be shared in real-time and are interactive and evidence-based, which is why we brought Ember to the healthcare marketplace,” Chiny Driscoll, CEO at MetiStream, said in an official statement.
The Cloudera Enterprise platform and MetiStream healthcare analytics solution are currently available.