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Automated identification of miscoded and misclassified cases of diabetes from computer records.

Authors
Type
Published Article
Journal
Diabetic Medicine
1464-5491
Publisher
Wiley Blackwell (Blackwell Publishing)
Publication Date
Volume
29
Issue
3
Pages
410–414
Identifiers
DOI: 10.1111/j.1464-5491.2011.03457.x
PMID: 21916978
Source
Medline
License
Unknown

Abstract

A simple computerized algorithm achieves very similar results to more complex search strategies to identify miscoded and misclassified cases of both Type 1 diabetes and Type 2 diabetes. It has the potential to be used as an automated audit instrument to improve quality of diabetes diagnosis.

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