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The effect of automated audit and feedback on data completeness in the electronic health record of the general physician: protocol for a cluster randomized controlled trial.

par Van den Bulck, Steve;De Burghgraeve, Tine;Raat, Willem;Mamouris, Pavlos;Coursier, Patrick;Vankrunkelsven, Patrick;Goderis, Geert ;Hermens, Rosella;Van Pottelbergh, Gijs;Vaes, Bert
Référence Trials, 22, 1, page (325)
Publication Publié, 2021-05-01

Article révisé par les pairs

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Résumé :

The electronic health record (EHR) of the general physician (GP) is an important tool that can be used to assess and improve the quality of healthcare. However, there are some problems when (re) using the data gathered in the EHR for quality assessments. One problem is the lack of data completeness in the EHR. Audit and feedback (A&F) is a well-known quality intervention that can improve the quality of healthcare. We hypothesize that an automated A&F intervention can be adapted to improve the data completeness of the EHR of the GP, more specifically, the number of correctly registered diagnoses of type 2 diabetes and chronic kidney disease.