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    You are at:Home»News»Virginia Tech and Leidos Establish Partnership to Research Big Data Challenges of Healthcare
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    Virginia Tech and Leidos Establish Partnership to Research Big Data Challenges of Healthcare

    By Lauren BudikOctober 12, 2015
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    Julie Rosen
    Julie Rosen, Leidos

    Virginia Tech and Leidos announced Oct. 1 a partnership to collaborate on student-conducted scientific research into the big data challenges of today’s electronic health records with the aim of optimizing healthcare delivery.

    Leidos and Virginia Tech will use technical data from hospitals and physician offices to establish methods to improve quality of care and reduce the cost of healthcare, particularly for hospitals. The partnership is expected to prepare the Virginia Tech students for professional careers in academia, industry or government.

    “We’re at the frontier of putting clinical and claims data to use for better health outcomes and to improve financial performance,” Leidos Health Chief Scientist Julie Rosen said, who will serve as the technical advisor to Virginia Tech on the project.”The spiraling cost of health care in this country is unsustainable. Analysis of healthcare delivery data must be done throughout the country if we’re going to be able to bring costs back down and keep people healthy.”

    “Through the partnership with Virginia Tech, Leidos will receive valuable insight that we expect to benefit our federal and commercial health customers,” Leidos Chief Technology Officer S. Gulu Gambhir said. “We’re also excited to facilitate the opportunity for Virginia Tech students to conduct research on the project and glean useful, hands-on experience with data.”

    Leidos has also made a financial commitment to Virginia Tech’s Center for Business Intelligence and Analytics in the Pamplin College of Business in an effort support the center and the Leidos Graduate Fellowship in Advanced Information Systems, which will help the center to recruit top graduate students to conduct research on healthcare issues.

    Established in 2014, The Center for Business Intelligence and Analytics focuses on the mining of big data.

    “Leidos is delighted and proud to have an opportunity to support important research and development work at Virginia Tech, and we are certain that our partnership will yield benefits for the university, Leidos and the clients we serve in both commercial and Federal health markets,” Leidos Federal Health Deputy President and Virginia Tech graduate Jerry Hogge said.

    “We’ve been able to hire some incredibly talented graduate students to work for us and with us on healthcare issues,” the center’s Executive Director Linda Oldham said. “It’s exciting because we have a group of students who are passionate about mining healthcare data to improve the quality of health care.”

    Two fellows have already been named as part of the Leidos-sponsored program and Oldham said the center hopes to add more.

    Zachary Davis, of Bremo Bluff, Va., is one of the Leidos fellows. Davis is a doctoral student studying business information technology.

    “The fellowship gives me the opportunity to speak with important individuals in the health care field,” he said. “With these contacts, I will be able to obtain the data necessary to solve real-world problems in the health care industry. Research interests of mine are: decreasing financial costs of hospitals through data analysis, improving the design of electronic health records and usability to create greater efficiencies and furthering support for patients through the use of information technology.”

    Junyan Wu, of Beijing, China, is the second Leidos fellow.

    “Leidos gives me an opportunity to conduct research related to health information management and security,” Wu said. “Nowadays, ‘big data’ provides an opportunity to optimize the management of electronic healthcare records and reduce security breaches that can jeopardize the quality of healthcare.”

    Related: Rob Zitz of Leidos Quoted in Trajectory Magazine “Dark Skies, Bright Future” Article

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