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First published February 28, 2007 as JAMIA PrePrint; doi:10.1197/jamia.M2128
Journal of the American Medical Informatics Association 2007;14(3):349-354
© 2007 American Medical Informatics Association

A more recent version of this article appeared on May 1, 2007
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Submitted on April 18, 2006
Accepted on January 26, 2007

Computerized extraction of information on the quality of diabetes care from free text in electronic patient records of general practitioners

Jaco Voorham MSc1* and Petra Denig PhD1

Affiliation of the authors: 1 Department of Clinical Pharmacology, University Medical Center Groningen, University of Groningen, The Netherlands; Research Coordination Centre, Department of Clinical Epidemiology, University Medical Centre Groningen, University of Groningen, The Netherlands

* To whom correspondence should be addressed.

This study evaluated a computerized method for extracting numeric clinical measurements related to diabetes care from free text in electronic patient records (EPR) of general practitioners. Accuracy of this number-oriented approach was compared to manual chart abstraction. Audits measured performance in clinical practice for two commonly used electronic record systems. Numeric measurements embedded within free text of the EPRs constituted 80% of relevant measurements. For 11 of 13 clinical measurements, the study extraction method was 94-100% sensitive with a positive predictive value (PPV) of 85-100%. Post-processing increased sensitivity several points and improved PPV to 100%. Application in clinical practice involved processing times averaging 7.8 minutes per 100 patients to extract all relevant data. The study method converted numeric clinical information to structured data with high accuracy, and enabled research and quality of care assessments for practices lacking structured data entry.




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