Modeling and Implementing Record Linkage in Health Information Systems

Philip Achimugu 1, * Babajide Afolabi 2, 3 Abimbola Soriyan 2
* Auteur correspondant
3 SITE - SITE
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Background: The process of identifying record pairs that represent the same entity (duplicate records) is technically known as record linkage and is one of the essential elements of data cleansing. This paper proposes a fast and efficient method for linkage detection within the healthcare domain. The features of the proposed approach are an embedded fast blocking method with a string matching function that accounts for keystroke mistakes made during data entry of a patient's name and the addition of a module that dynamically generates blocks of possible associated and unique records.
Type de document :
Article dans une revue
The Journal on Information Technology in Healthcare, 2009, 7 (03), pp.169 - 181


https://archivesic.ccsd.cnrs.fr/sic_00597942
Contributeur : Babajide Afolabi <>
Soumis le : jeudi 2 juin 2011 - 18:58:08
Dernière modification le : mardi 25 octobre 2016 - 17:01:05
Document(s) archivé(s) le : samedi 3 septembre 2011 - 02:26:07

Identifiants

  • HAL Id : sic_00597942, version 1

Collections

Citation

Philip Achimugu, Babajide Afolabi, Abimbola Soriyan. Modeling and Implementing Record Linkage in Health Information Systems. The Journal on Information Technology in Healthcare, 2009, 7 (03), pp.169 - 181. <sic_00597942>

Partager

Métriques

Consultations de
la notice

373

Téléchargements du document

410