Objective: The objective of this review is to summarize the state of the art of clinical decision
support (CDS) circa 1990, review progress in the 25 year interval from that time, and provide …

Clinical practice guidelines (CPGs) aim to improve the quality of care, reduce unjustified
practice variations and reduce healthcare costs. In order for them to be effective, clinical …

Objectives To provide typical examples of biomedical ontologies in action, emphasizing the
role played by biomedical ontologies in knowledge management, data integration and …

Chronically ill patients are complex health care cases that require the coordinated
interaction of multiple professionals. A correct intervention of these sort of patients entails the …

Background Clinical practice guidelines are systematically developed statements intended
to optimize patient care. However, a gapless implementation of guideline recommendations …

PURPOSE: Clinical guidelines are useful tools to standardize and improve health care. The
automation of the guideline execution process is a basic step towards its widespread use in …

Standards-based, computable knowledge representations for eligibility criteria are
increasingly needed to provide computer-based decision support for automated research …

Objective There is a need to integrate the various theoretical frameworks and formalisms for
modeling clinical guidelines, workflows, and pathways, in order to move beyond providing …

Clinical decision-support systems (CDSSs) comprise systems as diverse as sophisticated
platforms to store and manage clinical data, tools to alert clinicians of problematic situations …

Background: Hypertension is a chronic and lifestyle-related disease that requires continuous
preventive care. Although there are many evidence-based clinical practice guidelines …