Searching for A Clinical Decision Support System For Prevention Of Venous Thromboembolism information? Find all needed info by using official links provided below.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4075831/
To determine the impact that implementing a combination of a computer-based clinical decision support system and a program of training seminars has on the use of appropriate prophylaxis for venous thromboembolism (VTE).
https://jamanetwork.com/journals/jama/fullarticle/192759
Jun 07, 2000 · Clinical decision support systems have been successfully implemented for preventive care, drug dosing, and management of diseases. 1 Our study shows that implementation of clinical guidelines for venous thromboembolism prophylaxis through a CDSS used routinely in an orthopedic surgery ward and integrated into a computerized hospital information system significantly changed physician behavior and improved compliance with guidelines. This system…Cited by: 255
https://www.researchgate.net/publication/236312752_A_Clinical_Decision_Support_System_for_Prevention_of_Venous_Thromboembolism
A Clinical Decision Support System for Prevention of Venous Thromboembolism Article (PDF Available) in JAMA The Journal of the American Medical Association 283(21):2816-2821 · …
https://academic.oup.com/ajhp/article/67/15/1265/5130818
Aug 01, 2010 · The implementation of a mandatory assessment of risk for venous thromboembolism (VTE) in a health system’s electronic medical record (EMR) and clinical decision-support (CDS) system was evaluated to measure its effect on the use of pharmacologic prophylaxis and the occurrence of VTE and bleeding events.Cited by: 56
https://onlinelibrary.wiley.com/doi/full/10.1111/j.1538-7836.2010.03817.x
Low‐molecular‐weight heparins, low‐dose unfractionated heparin, vitamin K antagonists, fondaparinux, other anticoagulants and aspirin given for protection against venous thromboembolism were considered adequate, as well as mechanical prevention (intermittent pneumatic compression or graduated compression stockings).Cited by: 22
https://www.sciencedirect.com/science/article/pii/S2210832717300819
This paper presents a clinical decision support system using Artificial Neural Networks (ANN). The system uses Multilayer Perceptron (MLP) feed forward neural network to predict the risk of developing Venous Thromboembolism (VTE) in hospitalized patients. The developed system classifies the risk of VTE into five risk levels ranging from low to high.Cited by: 2
https://jamanetwork.com/journals/jamasurgery/fullarticle/2611289
Jul 01, 2017 · Haut ER, Lau BD, Kraenzlin FS, et al. Improved prophylaxis and decreased rates of preventable harm with the use of a mandatory computerized clinical decision support tool for prophylaxis for venous thromboembolism in trauma.Cited by: 16
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4262632/
Haut ER, Lau BD, Kraenzlin FS, et al. Improved Prophylaxis and Decreased Preventable Harm with a Mandatory Computerized Clinical Decision Support Tool for Venous Thromboembolism (VTE) Prophylaxis in Trauma Patients.Cited by: 26
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