The Georgia Institute of Technology will use IBM analytics technology to study data models as a way to systematically improve the pediatric health system.
As part of the One Million Healthy Children (1MHC) project, Georgia Tech will analyze the health data of 1 million Georgia children suffering from asthma, autism, and diabetes, and study how transportation, health services, socio-economic status, education history, and food resources affect the health of children. IBM will contribute financial support, data storage capabilities, and data analytics for the big data project.
The data analytics should enable health care providers to save money and time, and better understand differences in expenditures and outcomes among various populations. The project also will reveal data inconsistencies in information technology systems that need to be fixed.
A multilevel model will enable the researchers to show visualizations of a medical history across the provider, patient, and payee. "We're looking at very large data sets and need to portray relationships in those data sets," says Georgia Tech's William B. Rouse. "We're trying to use the computational power to provide that broader view."
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Abstracts Copyright © 2011 Information Inc. , Bethesda, Maryland, USA
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