Effects of clinical decision-support systems on practitioner performance and patient outcomes: a synthesis of high-quality systematic review findings
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TLDR
In this article, the authors synthesize the literature on clinical decision-support systems' (CDSS) impact on healthcare practitioner performance and patient outcomes, and find no evidence that CDSS significantly impacted practitioner performance.About:
This article is published in Journal of the American Medical Informatics Association.The article was published on 2011-05-01 and is currently open access. It has received 454 citations till now. The article focuses on the topics: Systematic review & Evidence-based medicine.read more
Citations
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Journal ArticleDOI
The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future
Omri Gottesman,Helena Kuivaniemi,Gerard Tromp,W. Andrew Faucett,Rongling Li,Teri A. Manolio,Saskia C. Sanderson,Joseph L. Kannry,Randi E. Zinberg,Melissa A. Basford,Murray H. Brilliant,David J. Carey,Rex L. Chisholm,Christopher G. Chute,John Connolly,David R. Crosslin,Joshua C. Denny,Carlos J. Gallego,Jonathan L. Haines,Hakon Hakonarson,John B. Harley,Gail P. Jarvik,Isaac S. Kohane,Iftikhar J. Kullo,Eric B. Larson,Catherine A. McCarty,Marylyn D. Ritchie,Dan M. Roden,Maureen E. Smith,Erwin P. Bottinger,Marc S. Williams +30 more
TL;DR: The evolution, accomplishments, opportunities, and challenges of the network are described, from its inception as a five- group consortium focused on genotype–phenotype associations for genomic discovery to its current form as a nine-group consortium pivoting toward the implementation of genomic medicine.
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Preemptive Clinical Pharmacogenetics Implementation: Current Programs in Five US Medical Centers
Henry M. Dunnenberger,Kristine R. Crews,James M. Hoffman,Kelly E. Caudle,Ulrich Broeckel,Scott C. Howard,Robert J. Hunkler,Teri E. Klein,William E. Evans,Mary V. Relling +9 more
TL;DR: Current programs that use preemptive genotyping to optimize the pharmacotherapy of patients are discussed and key processes for implementation are highlighted, including clinical decision support.
Journal ArticleDOI
Automated, electronic alerts for acute kidney injury: a single-blind, parallel-group, randomised controlled trial
F. Perry Wilson,Michael G.S. Shashaty,Jeffrey M. Testani,Iram Aqeel,Yuliya Borovskiy,Susan S. Ellenberg,Harold I. Feldman,Hilda Fernandez,Yevgeniy Gitelman,Jennie Lin,Dan Negoianu,Chirag R. Parikh,Peter P. Reese,Richard Urbani,Barry D. Fuchs +14 more
TL;DR: Whether an automated electronic alert for acute kidney injury would reduce the severity of such injury and improve clinical outcomes in patients in hospital was investigated.
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Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine.
Christian Castaneda,Kip Nalley,Ciaran Mannion,Pritish K. Bhattacharyya,Patrick Blake,Andrew L. Pecora,Andre Goy,K. Stephen Suh +7 more
TL;DR: Clinical and bioinformatics systems must employ common data elements to create structured annotation forms enabling laboratories and clinics to capture sharable data in real time to accelerate biomedical research and reduce healthcare costs.
Journal ArticleDOI
Impact of ambient temperature on morbidity and mortality: An overview of reviews
Xuping Song,Shigong Wang,Shigong Wang,Yuling Hu,Man Yue,Ting-Ting Zhang,Yu Liu,Jinhui Tian,Kezheng Shang +8 more
TL;DR: An overview of systematic reviews found heat exposure seemed to have an adverse effect on mortality and cold-induced cardiovascular morbidity increased in the elderly, and developing definitions of temperature exposure at the regional level may contribute to more accurate evaluations of the health effects of temperature.
References
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Journal ArticleDOI
Clinical decision support systems and antibiotic use.
TL;DR: CDSS could be a powerful tool to improve clinical care and patient outcomes and presents a promising future for optimising antibiotic use.
Journal ArticleDOI
Meta-analysis of the effect of the use of computer-based systems on the metabolic control of patients with diabetes mellitus.
TL;DR: The hypothesis that the use of computer-based systems can be an effective means of improving metabolic control is supported, through a meta-analysis study, and the differential benefit obtained in the amelioration of HbA1c does not justify the applicability of such systems into clinical practice.
Proceedings Article
Determinants of Success for Computerized Clinical Decision Support Systems Integrated into CPOE Systems: a Systematic Review
TL;DR: Four characteristics of the content of decision support and the way in which the user is provided with assistance seem to be associated with the success of computerized clinical decision support systems associated with efficacy for the main outcome of the study.
Journal ArticleDOI
An overview of the effect of computer-assisted management of anticoagulant therapy on the quality of anticoagulation
TL;DR: Evidence from randomized controlled trials supports the effectiveness of computer-aided anticoagulant prescription and widespread use of these systems in ambulatory care could increase the benefit/risk ratio of anticoAGulant treatment at a low cost.
Journal ArticleDOI
Biomedical Informatics Applications for Asthma Care: A Systematic Review
David L. Sanders,Dominik Aronsky +1 more
TL;DR: A systematic literature review found few studies demonstrated evidence of computerized applications improving clinical outcomes in asthma care, and further research is needed to prospectively evaluate the impact of using biomedical informatics to improve care of asthmatic patients.