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23
February, 2012
Thursday

Mining data from electronic records is faster way to get clues to disease

“Recruiting thousands of patients to collect health data for genetic clues to disease is expensive and time consuming. But that arduous process of collecting data for genetic studies could be faster and cheaper by instead mining patient data that already exists in electronic medical records, according to new Northwestern Medicine research.
In the study, researchers were able to cull patient information in electronic medical records from routine doctors’ visits at five national sites that all used different brands of medical record software. The information allowed researchers to accurately identify patients with five kinds of diseases or health conditions – type 2 diabetes, dementia, peripheral arterial disease, cataracts and cardiac conduction.”

Article
Medical Daily, 25 April 2011
Abstract (Kho 2011)

25 April 2011 | Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): Data Mining, Genetic Data
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