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Bibliometric Analysis of Clinical Decision Support Systems
Acta Informatica Pragensia, 2021 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 +1 more source
The roles of predictors in cardiovascular risk models - a question of modeling culture?
BMC Medical Research Methodology, 2021 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
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]
Archives of Plastic Surgery, 2013 Background In 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
Paediatric clinical decision support systems [PDF]
Archives of Disease in Childhood, 2002 Dreams come true? A computerised clinical decision support system (CDSS) is “a computer based tool using explicit knowledge to generate patient specific advice or interpretation”.1 Our use of computers has been driven not only by the increasing need to manage large amounts of information, but also by the imperative to make evidence based and cost ...
P, Ramnarayan, J, Britto
openaire +2 more sources
An overview of clinical decision support systems: benefits, risks, and strategies for success
npj Digital Medicine, 2020 Computerized clinical decision support systems, or CDSS, represent a paradigm shift in healthcare today. CDSS are used to augment clinicians in their complex decision-making processes. Since their first use in the 1980s, CDSS have seen a rapid evolution.
Reed Taylor Sutton +5 more
semanticscholar +1 more source
Annals of Family Medicine, 2023 PURPOSE To identify and quantify the barriers and facilitators to the use of clinical decision support systems (CDSSs) by primary care professionals (PCPs).
Pierre-Yves Meunier +4 more
semanticscholar +1 more source
Journal of Healthcare Engineering, 2023 Background Artificial intelligence (AI) has developed rapidly, and its application extends to clinical decision support system (CDSS) for improving healthcare quality.
Qian Xu +9 more
semanticscholar +1 more source
Fuzzy Logic in Clinical Practice Decision Support Systems [PDF]
, 2000 Computerized clinical guidelines can provide significant benefits to health outcomes and costs, however, their effective implementation presents significant problems.
Beliakov, Gleb +2 more
core +11 more sources
Clinical Decision Support Systems [PDF]
, 2018 AbstractClinical 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 health records and computerized physician order entry.
Wasylewicz, A.T.M., Hoeks, Anne-Marie
+4 more sources
Implementation Science, 2023 Background Successful implementation and utilization of Computerized Clinical Decision Support Systems (CDSS) in hospitals is complex and challenging.
B. Abell +8 more
semanticscholar +1 more source