Vol. 9 No. 26, December 19, 2012
Fact and Stats
Algorithms applied to electronic health record (EHR) data could help identify cases of diabetes, according to a study published in the journal Diabetes Care.
For the study, researchers from Harvard Medical School and Harvard Pilgrim Health Care Institute in Boston analyzed EHR data from a large, multi-specialty ambulatory provider serving about 700,000 patients. The data included: laboratory test results, diagnosis codes and prescriptions.
Researchers found that the algorithm provided more comprehensive information about possible diabetes cases than claims codes alone. In total, the algorithm identified 43,177 possible cases of diabetes. Of those cases:
78% had diabetes claims codes in their charts
66% had lab results suggestive of diabetes; and
46% had prescriptions suggestive of diabetes.
When researchers sought to differentiate between cases of Type 1 and Type 2 diabetes, the algorithm correctly classified 35 out of 36 patients with Type 1 diabetes.
According to the researchers, the algorithm can identify more diabetes cases than claims codes alone and can effectively differentiate between Type 1 and Type 2 diabetes.
Source: Automated Detection and Classification of Type 1 Versus Type 2 Diabetes Using Electronic Health Record Data
Date: November 27, 2012
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