Ontology highlight
ABSTRACT: Background
Adherence to guidelines pertaining to stroke prevention in patients with atrial fibrillation is poor. Decision support systems have shown promise in increasing guideline adherence.Aims
To improve guideline adherence with a non-obtrusive clinical decision support system integrated in the workflow. Secondly, we seek to capture reasons for guideline non-adherence.Design and setting
A cluster randomized controlled trial in Dutch general practices.Method
A decision support system was developed that implemented properties positively associated with effectiveness: real-time, non-interruptive and based on data from electronic health records. Recommendations were based on the Dutch general practitioners guideline for atrial fibrillation that uses the CHA2D
SUBMITTER: Arts DL
PROVIDER: S-EPMC5330455 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature