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Clinical decision support systems [PDF]
Clinical decision support (CDS) systems link patient data with an electronic knowledge base in order to improve decision-making and computerised physician order entry (CPOE) is a requirement to set up electronic CDS.
Patrick Emanuel Beeler +2 more
doaj +6 more sources
Bibliometric Analysis of Clinical Decision Support Systems
Clinical decision support systems are computer systems that help decision-makers make effective and efficient decisions in the diagnosis and treatment of diseases, patient care, and health institution management.
Cemal Aktürk
doaj +2 more sources
Decision time for clinical decision support systems [PDF]
Clinical decision support systems are interactive software systems designed to assist clinicians with decision making tasks, such as determining a diagnosis or recommending a treatment for a patient.
O'Sullivan, Dympna +7 more
core +5 more sources
Clinical Decision Support Systems
Clinical decision support (CDS) includes a variety of tools and interventions computerized as well as non- computerized. High-quality clinical decision support systems (CDSS), computerized CDS, are essential to achieve the full benefits of electronic ...
Kubben, Pieters +4 more
core +3 more sources
The Correlation between the Degree of Enophthalmos and the Extent of Fracture in Medial Orbital Wall Fracture Left Untreated for Over Six Months: A Retrospective Analysis of 81 Cases at a Single Institution [PDF]
BackgroundIn patients with medial orbital wall fracture, predicting the correlation between the degree of enophthalmos and the extent of fracture is essential for deciding on surgical treatment.
Yun Sik Sung +2 more
doaj +5 more sources
Clinician Responses to a Clinical Decision Support Advisory for High Risk of Torsades de Pointes
Background Torsade de pointes (TdP) is a potentially fatal cardiac arrhythmia that is often drug induced. Clinical decision support (CDS) may help minimize TdP risk by guiding decision making in patients at risk.
Tyler Gallo +7 more
doaj +1 more source
The roles of predictors in cardiovascular risk models - a question of modeling culture?
Background While machine learning (ML) algorithms may predict cardiovascular outcomes more accurately than statistical models, their result is usually not representable by a transparent formula.
Christine Wallisch +6 more
doaj +1 more source
From clinical decision support to clinical reasoning support systems [PDF]
AbstractDespite the great promises that artificial intelligence (AI) holds for health care, the uptake of such technologies into medical practice is slow. In this paper, we focus on the epistemological issues arising from the development and implementation of a class of AI for clinical practice, namely clinical decision support systems (CDSS).
Sophie van Baalen +2 more
openaire +4 more sources
Clinical Decision Support Systems
This chapter introduces the basic principles of Clinical Decision Support (CDS) systems. CDS systems aim to codify and strategically manage biomedical knowledge to handle challenges in clinical practice using mathematical modelling tools, medical data ...
John Stoitsis +4 more
core +2 more sources
Background Computerized clinical decision support systems (CDSSs) are a promising knowledge translation tool, but often fail to meaningfully influence the outcomes they target.
Andrew Kouri +4 more
doaj +1 more source

