Executive summary “Depression is a disorder of mood, so mysteriously painful and elusive
in the way it becomes known to the self—to the mediating intellect—as to verge close to …

Background Computerized clinical decision support systems (CDSSs) are a promising
knowledge translation tool, but often fail to meaningfully influence the outcomes they target …

Objective To report the improvements achieved with clinical decision support systems and
examine the heterogeneity from pooling effects across diverse clinical settings and …

Major depressive disorder is a debilitating disease affecting 264 million people worldwide.
While many antidepressant medications are available, few clinical guidelines support …

Background Machine learning models have the potential to improve diagnostic accuracy
and management of acute conditions. Despite growing efforts to evaluate and validate such …

There is a large proliferation of complex data-driven artificial intelligence (AI) applications in
many aspects of our daily lives, but their implementation in healthcare is still limited. This …

Background: To deal with complexity in cancer care, computerized clinical decision support
systems (CDSSs) are developed to support quality of care and improve decision-making …

By enabling more efficient and effective medical decision making, computer-based clinical
decision support (CDS) could unlock widespread benefits from the significant investment in …

Objective Sustainable investment in computerized decision support systems (CDSS)
requires robust evaluation of their economic impacts compared with current clinical …

Objective Computerised clinical decision support systems (CDSS) are an increasingly
important part of nurse and allied health professional (AHP) roles in delivering healthcare …