title: The Information Quality Triangle: a methodology to assess clinical information quality.
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.
authors.affiliation: INSERM, 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
authors.forename: Rémy
authors.initials: R
authors.lastname: Choquet
authors.forename: Samiha
authors.initials: S
authors.lastname: Qouiyd
authors.forename: David
authors.initials: D
authors.lastname: Ouagne
authors.forename: Emilie
authors.initials: E
authors.lastname: Pasche
authors.forename: Christel
authors.initials: C
authors.lastname: Daniel
authors.forename: Omar
authors.initials: O
authors.lastname: Boussaïd
authors.forename: Marie-Christine
authors.initials: MC
authors.lastname: Jaulent
mesh_terms: D020000:Decision Support Systems, Clinical / Q000592:standards*; D003695:Delivery of Health Care / Q000592:standards*; D057286:Electronic Health Records / Q000592:standards*; D005602:France; D017146:Models, Organizational; D011785:Quality Assurance, Health Care / Q000458:organization & administration*