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Computer Scientist Mines Electronic Medical Record Data For Better Health Care


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Heng Huang of the University of Texas at Arlington

Deciphering data "can give doctors better information so they can give patients better health care," says Heng Huang of the University of Texas at Arlington.

Credit: University of Texas at Arlington

University of Texas at Arlington professor Heng Huang is leading a research effort to use electronic medical records data to help physicians personalize patient treatment, predict health care needs, and identify risks that can lead to readmission. "We especially want to predict possible readmission dates for heart failure patients because timing is extremely important to them," Huang says. The research also could help health care professionals find the balance between patient hospital stays and insurance companies' need to control hospital costs, he says. 

"Big data is becoming more and more a part of our lives. This research would help us and our physicians make important health care decisions," says UT Arlington College of Engineering Dean Khosrow Behbehani. "Dr. Huang's work makes use of the increasingly large amounts of data being generated in the health care community and will use it to develop systems that help us live healthier, longer lives." The research also could lead to solving increasingly difficult big data problems in areas of climate prediction, safer manufacturing, and cybersecurity.

Huang is working with researchers at the University of Indiana, Purdue University, and the University of Pennsylvania.

From University of Texas at Arlington
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