Document Detail


A peculiar aspect of patients' safety: the discriminating power of identifiers for record linkage.
MedLine Citation:
PMID:  15747947     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Today, one of the main stake of the interfaced health information systems or networks is to be able to gather the different parts of the medical record of a patient without any risk to mix them with those of one other patient. This objective could appear easy to reach but only in theory because in practice many name are misspelled or erroneous and a great attention has to be paid to define what is the best identifier to link medical record. As a linkage using less informative identifiers could lead to linkage errors, it is essential to quantify the information associated to each identifier. The aim of this study was to estimate the discriminating power of different identifiers susceptible to be used in a record linkage process. This work showed the interest of three identifiers when linking data concerning a same patient using an automatic procedure based on the method proposed by Jaro; the date of birth, the first and the last names seemed to be the more appropriate identifiers. Including a poorly discriminating identifier like gender did not improve the results. Moreover, adding a second christian name, often missing, increased linkage errors. On the contrary, it seemed that using a phonetic treatment adapted to the French language could improve the results of linkage in comparison to the Soundex. However, whatever, the method used it seems necessary to improve the quality of identifier collection as it could greatly influence linkage results.
Authors:
Catherine Quantin; Christine Binquet; Karima Bourquard; Ronny Pattisina; Béatrice Gouyon-Cornet; Cyril Ferdynus; Jean-Bernard Gouyon; François-André Allaert
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  103     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2004  
Date Detail:
Created Date:  2005-03-07     Completed Date:  2005-04-01     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  400-6     Citation Subset:  T    
Affiliation:
Department of medical informatics, Dijon University Hospital, France.
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MeSH Terms
Descriptor/Qualifier:
Humans
Medical Errors / prevention & control*
Medical Record Linkage / methods*
Medical Records Systems, Computerized / organization & administration*
Patient Identification Systems
Safety Management / methods
Systems Integration

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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