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Decision time for clinical decision support systems [PDF]

Clinical Medicine, 2014
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.
Carson, E., Fraccaro, P., O'Sullivan, D., Weller, P.   +3 more
core   +6 more sources

Do providers use computerized clinical decision support systems? A systematic review and meta-regression of clinical decision support uptake

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, Janet Yamada, Jeffrey Lam Shin Cheung, Stijn Van de Velde, Samir Gupta   +4 more
doaj   +2 more sources

Clinical Decision Support Systems

Visceral Medicine, 2021
<b><i>Background:</i></b> By combining up-to-date medical knowledge and steadily increasing patient data, a new level of medical care can emerge. <b><i>Summary and Key Messages:</i></b> Clinical decision support systems (CDSSs) are an arising solution to handling rich data and providing them to health ...
Teufel, Andreas, Binder, Harald
semanticscholar   +6 more sources

Clinical decision support systems

Swiss Medical Weekly, 2014
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, David Westfall Bates, Balthasar L Hug   +2 more
doaj   +3 more sources

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, Tiago Guimarães, Manuel Santos   +2 more
doaj   +2 more sources

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Nature Medicine, 2022
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico, evaluation, but few have yet demonstrated real benefit to patient care.
B. Vasey, M. Nagendran, Bruce Campbell, D. Clifton, Gary S. Collins, Spiros C. Denaxas, A. Denniston, L. Faes, B. Geerts, Mudathir Ibrahim, Xiaoxuan Liu, B. Mateen, P. Mathur, Melissa D. McCradden, L. Morgan, Johan Ordish, C. Rogers, S. Saria, D. Ting, P. Watkinson, W. Weber, Peter Wheatstone, P. McCulloch   +22 more
semanticscholar   +4 more sources

Harnessing the power of clinical decision support systems: challenges and opportunities

Open Heart, 2023
Clinical decision support systems (CDSSs) are increasingly integrated into healthcare settings to improve patient outcomes, reduce medical errors and enhance clinical efficiency by providing clinicians with evidence-based recommendations at the point of ...
Yanping Wang, Zhao Chen, Ning Liang, Yaxin Chen, Haili Zhang, Huizhen Li, Yijiu Yang, Xingyu Zong, Nannan Shi   +8 more
doaj   +2 more sources

XAI-Based Clinical Decision Support Systems: A Systematic Review

Applied Sciences
With increasing electronic medical data and the development of artificial intelligence, clinical decision support systems (CDSSs) assist clinicians in diagnosis and prescription.
Se Young Kim, Dae Ho Kim, Min Ji Kim, Hyo Jin Ko, Ok Ran Jeong   +4 more
doaj   +2 more sources

From clinical decision support to clinical reasoning support systems [PDF]

Journal of Evaluation in Clinical Practice, 2020
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, Mieke Boon, Petra Verhoef   +2 more
openaire   +5 more sources

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, C. William Heise, Raymond L. Woosley, James E. Tisdale, Malinda S. Tan, Sheila M. Gephart, Corneliu C. Antonescu, Daniel C. Malone   +7 more
doaj   +1 more source