The Information Quality Triangle: a methodology to assess clinical information quality.
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.
Choquet
Rémy
R
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
Qouiyd
Samiha
S
Ouagne
David
D
Pasche
Emilie
E
Daniel
Christel
C
Boussaïd
Omar
O
Jaulent
Marie-Christine
MC
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*