Objectives We aimed to review how 'Risk of Bias In Non-randomized Studies–of
Interventions'(ROBINS-I), a Cochrane risk of bias assessment tool, has been used in recent …

Background Clinical decision support systems (CDSS) have been utilized as a low-cost
intervention to improve healthcare process measures. Thus, we aim to estimate CDSS …

Background Physicians play a key role in integrating new clinical technology into care
practices through user feedback and growth propositions to developers of the technology …

Background There is increasing attention on machine learning (ML)-based clinical decision
support systems (CDSS), but their added value and pitfalls are very rarely evaluated in …

Aims We aim to seek expert opinion and gain consensus on the risks associated with a
range of prescribing scenarios, preventable using e‐prescribing systems, to inform the …

Background The prevalence of clinical inertia, the failure of appropriate treatment
intensification in diabetes treatment, is a well-documented worldwide phenomenon. This …

Background Despite widely available risk stratification tools, safe and effective
anticoagulants, and guideline recommendations, anticoagulation for stroke prevention in …

Aims Inappropriate anticoagulant use increases the risk of bleeding and thrombotic events.
We implemented clinical decision rules to promote judicious medication use, as part of the …

Background. To primarily investigate the effect of using a clinical decision support system
(CDSS) in community health centers in Shanghai, China, on the proportion of patients …

Clinical decision support systems (CDSS) are developed independently or connected to the
electronic health record (EHR) or other computerized systems. The study begins with …