PALO ALTO, Calif., July 2, 2018 /PRNewswire/ -- Cloudera,
Inc., (NYSE: CLDR), 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.
Click to Tweet: From x-ray images
to clinical notes, 80% of data collected by #healthcare orgs is
unstructured. @Cloudera & @MetiStream provide #analytics
platforms to gain insights from previously underutilized data
source: http://bit.ly/2Kia1bL #ML
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. "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," said Chiny Driscoll, CEO at MetiStream.
Healthcare Organizations Speed Analytics to Improve Patient
Care
Together, Cloudera and MetiStream empowered a U.S. News
& World Report top ranked U.S. hospital, Rush University Medical Center, which is an
academic health system comprised of Rush
University Medical Center, Rush
University, Rush Oak Park Hospital and Rush Health. The
Chicago-based medical system
needed a healthcare analytics platform to process a backlog of
clinical notes. Using solutions from both Cloudera and MetiStream,
the medical center was able to process 7.2 million records in less
than thirty-six hours. As a result of using the healthcare
analytics platform, the medical center improved the standard of
care by identifying patients with certain disease risks earlier
than ever before possible.
"With Cloudera and MetiStream on Microsoft Azure, we can quickly
spin up and down resources as our data processing needs change and
evolve, and we can load huge volumes of data in days that would
have taken weeks on premises. We have also been able to apply
machine learning to discover new insights from our data, and by
using Cloudera technologies, we are working to make development of
new models easier and faster for our data scientists," said Dr.
Bala Hota, Chief Analytics Officer
at Rush University Medical Center.
Additionally, Cloudera and MetiStream empowered Sharp Healthcare
and Sharp Rees-Stealy Medical Group specialists to process more
than 10 years of clinical notes and index them for search. By
leveraging the scalable, massively parallel, in-memory power of
Apache Spark, Cloudera and MetiStream support the end-to-end
process of extracting, processing, storing and analyzing Sharp's
clinical text data in a fraction of the time this once-manual job
required. With the new solution, Sharp can now leverage NLP
to discern clinical terms and then normalize these terms to
well-known ontology codes, most notably UMLS CUI, Snomed-CT, and
RxNorm. The result is a solution that gives Sharp the ability to
flexibly search their entire notes history for any text, phrase,
term, acronym, or code and return the date and time stamp along
with other patient information within milliseconds. Coupled with
open source Apache Spark, the now annotated clinical data can be
used to train a model in Cloudera Data Science Workbench, and
develop risk predictions, allowing Sharp to capitalize on machine
learning and AI.
"If you had asked me two years ago what I could have done with
machine learning, deep learning, and Spark, it is exactly what
MetiStream and Cloudera have packaged and outlined in their joint
offering. I see this as an exciting breakthrough for the future of
healthcare," said Dr. Randall
Hawkins, neurologist, Sharp Rees-Steal Medical Group,
San Diego.
The Cloudera Enterprise platform and MetiStream healthcare
analytics solution are currently available.
Additional Resources
- Visit Cloudera and MetiStream in person at Cloudera Sessions,
DC on July 31
- Register for a joint Cloudera and MetiStream webinar,
Delivering Improved Patient Outcomes through Advanced Analytics,
featuring guest speakers John
Spooner, senior analyst for healthcare and IoT at 451
Research, and Jawad Khan, director
of Knowledge Management at Rush
University Medical Center
- Read the Rush customer success
story on how they tap into unstructured data from clinical notes to
double the accuracy of their machine learning models
- Learn more about Cloudera's modern platform for healthcare and
life sciences
About MetiStream
MetiStream is a healthcare analytics
platform and solutions provider. We deliver innovation at the
intersection of big data, artificial intelligence and healthcare
analytics. Our mission is to help healthcare organizations maximize
the use of their data assets to improve patient outcomes, decrease
risks and accelerate healthcare discoveries. Our platform provides
a complete end-to-end , allowing organizations to ingest, process,
and analyze large volumes of complex healthcare data sets within a
single platform. Learn more at Metistream.com.
About Cloudera
At Cloudera, we believe that data can
make what is impossible today, possible tomorrow. We empower people
to transform complex data into clear and actionable insights. We
deliver the modern platform for machine learning and analytics
optimized for the cloud. The world's largest enterprises trust
Cloudera to help solve their most challenging business problems.
Learn more at Cloudera.com.
Connect with Cloudera
About
Cloudera: cloudera.com/more/about.html
Read our VISION blog: vision.cloudera.com/ and
Engineering blog: blog.cloudera.com/
Follow us on Twitter: twitter.com/cloudera
Visit us on Facebook: facebook.com/cloudera
See us on
YouTube: youtube.com/user/clouderahadoop/featured
Join the Cloudera Community: community.cloudera.com/
Read about our customers'
successes: cloudera.com/more/customers.html
For information on Cloudera Enterprise and SDX:
cloudera.com/products/sdx.html
Cloudera and associated marks and trademarks are
registered trademarks of Cloudera, Inc. All other company and
product names may be trademarks of their respective owners.
This press release contains forward-looking statements
including, among other things, statements regarding the expected
performance and benefits of Cloudera's offerings. The words
"believe," "may," "will," "plan," "expect," and similar expressions
are intended to identify forward-looking statements. These
forward-looking statements are subject to risks, uncertainties, and
assumptions. If the risks materialize or assumptions prove
incorrect, actual results could differ materially from the results
implied by these forward-looking statements. Risks include, but are
not limited to, risks described in our filings with the Securities
and Exchange Commission (SEC), including our Form S-1 Registration
Statement, and our future reports that we may file with the SEC
from time to time, which could cause actual results to vary from
expectations. Cloudera assumes no obligation to, and does not
currently intend to, update any such forward-looking statements
after the date of this release.
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SOURCE Cloudera, Inc.