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CDC Article Shows IMO's Interface Terminology Beats Algorithms for Identifying Coronary Heart Disease with 'Nearly Perfect' Accuracy
Date:4/29/2013

NORTHBROOK, Ill., April 29, 2013 /PRNewswire/ -- Intelligent Medical Objects, Inc. (IMO), developers of the most widely-used and physician-preferred terminology service for electronic health records systems, welcomes a recent, peer-reviewed article1 in Preventing Chronic Disease, published by the Centers for Disease Control, that demonstrates how IMO's enhanced interface terminology was found superior to current population classification techniques using standard reimbursement coding in medical record systems and as a disease surveillance tool.

The study was designed to identify and accurately categorize acute coronary heart disease and heart failure events by exclusively using electronic health record (EHR) data. Using EHR data alone to accurately categorize disease would allow the medical record to be used as a cardiovascular surveillance tool and eliminate the need for manual medical record review.  The study compared two computer algorithms using standard 4-digit ICD-9-CM and IMO's interface terminology to a manual record review (the gold standard). The authors found only moderate agreement (57% and 67%) was achieved when the classification is based solely on 4-digit ICD-9-CM codes. However, the authors reported greater than 99% agreement was achieved when using IMO's interface terminology.

The authors concluded that electronic medical record data are sufficient to categorize coronary heart disease and heart failure events without manual record review. However, when the classification is based on 4-digit ICD-9-CM codes, only moderate agreement with medical record review can be achieved. When using IMO interface terminology - clinician-friendly terms mapped to reference terminologies such as SNOMED CT ® as well as ICD-9-CM and ICD-10-CM - nearly perfect agreement can be achieved.

These results have important implications for the design of quality reporting and decision-support
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SOURCE Intelligent Medical Objects Inc.
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