Continuous assurance for AI-driven clinical decision support systems [PDF]
Frontiers in Artificial IntelligenceHealthcare systems are rapidly embedding adaptive and generative AI into core clinical processes. The integration of Artificial Intelligence into Clinical Decision Support Systems (AI-CDSS) highlights a fundamental transformation within healthcare ...
Rami A. Al-Horani, Amanuel F. Tadesse
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The ‘Hippocratic Oath’ for AI-based clinical decision support systems [PDF]
BMC Medical Informatics and Decision MakingBackground The implementation of Artificial Intelligence assisted Clinical Decision Support Systems (AI-CDSS) shows significant potential to improve healthcare. However, implementing AI-CDSS has many associated challenges.
Solomon Bracey +14 more
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Towards effective clinical decision support systems: A systematic review.
PLoS ONE, 2022 BackgroundClinical Decision Support Systems (CDSS) are used to assist the decision-making process in the healthcare field. Developing an effective CDSS is an arduous task that can take advantage from prior assessment of the most promising theories ...
Francini Hak +2 more
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Clinical Decision Support Systems for Pressure Ulcer Management: Systematic Review
JMIR Medical Informatics, 2020 BackgroundThe clinical decision-making process in pressure ulcer management is complex, and its quality depends on both the nurse's experience and the availability of scientific knowledge. This process should follow evidence-based practices incorporating
Araujo, Sabrina Magalhaes +2 more
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Clinician Responses to a Clinical Decision Support Advisory for High Risk of Torsades de Pointes
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2022 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
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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
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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
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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
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Implementation Science, 2022 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
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American Heart Journal Plus, 2022 Study objective: Reduce inappropriate transthoracic echocardiograms (TTEs) using a series of Plan-Do-Study-Act (PDSA) quality improvement cycles. Design: Three PDSA cycles were designed with the first integrating a previously published decision support ...
Hassan Ashraf +3 more
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