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Published on: February 16, 2011
The Information Quality Triangle: a methodology to assess clinical information quality
Rémy Choquet1, Samiha Qouiyd, David Ouagne
1INSERM, UMR_S 872, Université Pierre et Marie Curie, AP-HP, Hôpital George Pompidou, Département d'Informatique Hospitalière, Paris, F-75006 France. remy.choquet@spim.jussieu.fr
Abstract:
Building qualitative clinical decision support or monitoring based on information stored in clinical information (or EHR) systems cannot be done without assessing and controlling information quality. Numerous works have introduced methods and measures to qualify and enhance data, information models and terminologies quality. This paper introduces an approach based on an Information Quality Triangle that aims at providing a generic framework to help in characterizing quality measures and methods in the context of the integration of EHR data in a clinical datawarehouse. We have successfully experimented the proposed approach at the HEGP hospital in France, as part of the DebugIT EU FP7 project.
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