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Atigeo and Deep Domain Partner to Help Hospitals Cut Costs, Deliver Faster Analytics-Based SolutionsBELLEVUE, Wash. --(Business Wire)-- Atigeo™, a compassionate technology company, and Deep Domain, Inc., a leading provider of analytic and electronic health record (EHR) reporting software, today announced a partnership that provides a faster and more affordable way for hospitals to leverage clinical and business analytics regardless of where their data is stored. As a result of the partnership, hospitals can now leverage their data as actionable analytics without using a data warehouse. Through Atigeo's xPatterns platform and Deep Domain's virtual data warehouse technology, this happens with the speed and cost-effectiveness of local storage. "This partnership leverages our ProSuite platform and new API to truly transform the way hospitals build, use and maintain their analytics, software tools, and applications based on high-quality data," said Howard Mahran, CEO and founder of Deep Domain. "This means that insights from Atigeo xPatterns healthcare analytics will be even more available and inexpensive." "While most hospitals and clinics have made the transition to electronic health records, they're struggling to access them in ways that help doctors to improve care and administrators to cut costs," said Howard Mahran, CEO and founder of Deep Domain. "By combining our xPatterns platform with Deep Domain's Pro Suite platform, doctors and administrators both gain the ability to make better and faster decisions based on actionable analytics and immediately accessible data." In the past, hospitals have accessed their data via slow, costly and high-maintenance legacy systems that require customized processes to extract, transform and load data. Atigeo and Deep Domain offer a vast improvement made possible through Deep Domain's patent-peding database virtualization technology, which extends Atigeo xPatterns analytics to deliver high-speed storing and access in order to analyze data for medical providers. These speed and cost improvements will help hospitals address a host of challenges including one recently identified by the Robert Wood Johnson Foundation: one in every five hospitalized seniors are being readmitted within 30 days. This disconnect in care alone is resulting in $17 billion each year in Medicare readmission costs. "Atigeo, as the leader in making qualitatively better analytics for healthcare, ranging from readmission risk assessment to population health management, is very pleased to be working with Deep Domain. Combining the power of xPatterns with Deep Domain's virtual data warehouse technology means further massive speed improvements in getting crucial analytics in the hands of hospital decision makers," said Michael Sandoval, Chairman, CEO and founder of Atigeo. For more information on Atigeo and Deep Domain collaborative solutions for hospitals and healthcare, please visit www.atigeo.com/dd. About Deep Domain Deep Domain is the company behind an extremely easy-to-use reporting platform that provides a faster and easier way for department managers within hospitals, clinics and private practices to generate custom, on-demand reports from electronic health records (EHR) databases. Since its launch in 2013, the low-cost platform has enabled customers including Seattle's Swedish Hospital, EvergreenHealth Hospital & Medical Center and a growing number of primary care clinics across the country to dramatically improve patient care, achieve greater operational efficiencies and increase revenues. More information on the company and its products can be viewed online at www.deepdomain.com, or find us on Twitter or LinkedIn. About Atigeo™ Atigeo is a compassionate technology company for a wiser planet. Its big data analytics platform, xPatterns, operates in the cloud to lower any company's cost barrier for extracting knowledge from all available data, even with a legacy IT infrastructure. Enterprise-grade and developer-accessible, xPatterns makes data easier to leverage in its native state, greatly reducing the effort, expense and limitations of data architecture and analysis For more information, please visit www.atigeo.com or find us on Twitter or LinkedIn.
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