Databases Reference
In-Depth Information
Case study 3: Improving healthcare quality and costs using Big Data
Company: Cloudera
Customer: Explorys Medical
Program: Improving healthcare quality and costs using a Big Data platform
Industry: Healthcare
Business applications:
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Complex data processing and curation of clinical, financial, and operational data.
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Clinical quality measure analytics.
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Proactive care management analytics.
Impact:
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Time to insight reduced from days to minutes.
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Increased business agility.
Reduced total cost of ownership.
We were forced to think about a less expensive, more efficient technology from the beginning, and
in hindsight, I'm glad that we were. For us—needing storage, high-capacity index, and analytics—
Hadoop really made a lot of sense. And from a partner perspective, Cloudera is one of the most
influential that we've had throughout the years.
—Charlie Lougheed, president and CTO, Explorys
Company overview
In 2009, Explorys' cofounders—Stephen McHale, CEO; Charlie Lougheed, president and CTO; and
Doug Meil, chief software architect—set forward on a mission to integrate clinical, financial, and
operational data to improve delivery of care, resulting in better health outcomes and reduced costs
associated with delivering medical services. Explorys has built a cloud-based enterprise performance
management (EPM) computing platform for healthcare providers that enables real-time exploration,
performance, and predictive analytics of clinical data. Several of the U.S.'s largest integrated deliv-
ery networks have deployed Explorys' platform, including Cleveland Clinic, MedStar, University
Hospitals, St. Joseph Health System, Catholic Health Partners, and Summa Health System.
Use case
Explorys “bet the company on Hadoop in 2009,” stated Meil. Explorys' Big Data platform, known as
DataGrid, is based on Cloudera Enterprise and offers three software-as-a-service (SaaS) applications:
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EPM: Explore provides subsecond ad-hoc search across populations, providers, and care venues.
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EPM: Measure is an integrated application and framework for constructing and viewing key
performance metrics across providers, groups, care venues, and locations.
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EPM: Engage is an integrated application and framework for coordinating rules-driven registries,
prioritized patient and provider outreach, and messaging.
Explorys uses MapReduce to process, organize, and curate large batches of incoming data very
quickly into HDFS and HBase. Data sources include HL7, claims data, and third-party feeds from
virtual health records (VHRs) such as Epic, Eclipsys, Amalga, McKesson, and Cerner. That data is
