SEATTLE, March 6, 2017 /PRNewswire/ -- The Colorado Center
for Personalized Medicine (CCPM), a partnership among the
University of Colorado Denver,
UCHealth, Children's Hospital Colorado, and CU Medicine, is using
Tableau Software (NYSE: DATA), a global leader in visual analytics,
and Google Cloud Platform (GCP) to analyze patient data to predict
disease risk and develop targeted treatments based on an
individual's health history in support of breakthrough
research projects. This research requires examining the genetic
makeup and health history of thousands of patients to reveal
patterns showing how people with particular genetic profiles tend
to get certain diseases and whether they could benefit from
specific treatments.
To address those concerns, CCPM relies on Health Data Compass,
CCPM's enterprise health data warehouse. Health Data Compass
integrates patient genomic data from CCPM and electronic health
records from UCHealth, Children's Hospital Colorado, and CU
Medicine, including external records such as insurance claims,
public health records, and environmental data. Eventually, it will
encompass data from social media, wearable devices, and more.
Health Data Compass previously used a traditional on-premises
system to store and analyze data. But that approach proved costly
to maintain and didn't scale for the center's current analytics
needs, let alone their projected growth. Following a comprehensive
six-month pilot project, Health Data Compass migrated to the GCP
and Tableau, which together can handle massive data sets and
powerful visual data analyses, while costing less and allowing for
easy scalability as CCPM grows. Significant to CCPM's decision was
the ability of GCP, including Google BigQuery, to support HIPAA
compliance per CCPM's requirements.
"We take our responsibility to protect patient data very
seriously. The Google Cloud Platform provides significant
advantages in data security over on-premises systems and helps us
achieve HIPAA compliance," said Michael
Ames, Associate Director for Health Data Compass and
Director of Enterprise Architecture for CCPM.
Drilling down into genomic data
Health Data Compass uploads data from multiple sources to Google
Cloud Storage, which is less expensive and more scalable than
Health Data Compass's on-site storage. From Google Cloud Storage,
data is routed to Google Genomics and Google BigQuery, where a wide
range of analytics is performed.
Google BigQuery provided an unexpected benefit for one of Health
Data Compass's key services: probabilistic record linkage
algorithms. Information about patients comes from multiple sources,
so Health Data Compass needs to ensure that records aren't
duplicated. For example, it must determine whether 'Bobby Peterson'
treated as a youth at Children's Hospital Colorado is the same as
'Roberta Peterson' treated as an adult years later at UCHealth.
Compass holds records for nearly 6 million patients, so this
algorithm requires tremendous processing power. Health Data
Compass's original on-premises infrastructure took eight hours to
complete the job. With Google BigQuery, it is completed in 15
minutes at a fraction of the cost.
Health Data Compass is developing tools to drill deeper into
this data to quickly find answers. It uses Tableau's self-service
visual analytics platform with optimized connectivity to Google
BigQuery for live analysis directly against the data in Google
BigQuery. Tableau enables role-based dashboards for clinicians and
researchers who are not data scientists to get useful insights from
the data in a governed and secure data environment. Health Data
Compass also deployed their Tableau implementation in the cloud on
Google Compute Engine.
"Self-service data discovery and visual analytics from Tableau
with Google BigQuery will enable researchers and clinicians to use
Health Data Compass to quickly identify and understand patterns in
genomic data to improve quality, lower costs, and accelerate
delivering care, for superior patient outcomes. This is the future
now," said Andy De, Senior Industry
Director, Healthcare and Life Sciences at Tableau Software.
Faster and better answers at less cost
Health Data Compass successfully completed its comprehensive
pilot project using Google Cloud Platform and expects to capture
considerable benefits when it goes into full production this year.
Analysts can perform queries much faster with Google BigQuery than
with the previous solution. As a result, they can iterate
alternative data queries with clinicians and researchers to extract
complex concepts. In addition, Health Data Compass expects to
dramatically cut operating costs including software, hardware,
maintenance and support.
With Google Cloud Platform, Health Data Compass scales quickly
without having to add hardware. It can also more easily integrate
data from new sources, because it doesn't have to contend with
complex issues such as opening up ports and firewalls and setting
up FTP servers. In addition to the hospitals that University of Colorado partners with, such as
UCHealth and Children's Hospital Colorado, Health Data Compass also
pulls in state public health department data, weather data,
insurance claims data, and data from other sources.
"Combining genomics with clinical data and the exploding
diversity of other personal data to provide individualized patient
care is the frontier of medicine and research. Google Cloud
Platform and Tableau provide us with the big data processing and
analytics power we need to give researchers tools to improve
healthcare for millions of people," says Ames.
Learn more about Tableau at Google Cloud NEXT 2017
Tableau is working with GCP to provide integrations for Google
Analytics, Google BigQuery and Google Cloud SQL, in addition to
certification for Tableau Server on Google Compute Engine. Tableau
will also be supporting integration with Google Cloud Spanner in
the second half of 2017.
To learn more about Tableau on GCP, visit
https://www.tableau.com/tableau-google. Come by the Tableau booth
#D5 at Google Cloud NEXT in San
Francisco, March 8-10.
About Tableau
Tableau (NYSE: DATA) helps people see and understand data.
Tableau helps anyone quickly analyze, visualize and share
information. More than 54,000 customer accounts get rapid results
with Tableau in the office and on-the-go. Over 300,000 people use
Tableau Public to share public data in their blogs and websites.
See how Tableau can help you by downloading the free trial at
www.tableau.com/trial.
Tableau and Tableau Software are trademarks of Tableau
Software, Inc. All other company and product names may be
trademarks of the respective companies with which they are
associated.
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SOURCE Tableau Software