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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773552/
Jun 23, 2009 · Personalizing Drug Selection Using Advanced Clinical Decision Support John Pestian , 1 Malik Spencer , 1 Pawel Matykiewicz , 1 Kejian Zhang , 2 Alexander A. Vinks , 3 and Tracy Glauser 4 1 Clinical Linguistic Group, Division of Biomedical Informatics.Cited by: 15
https://www.researchgate.net/publication/38075594_Personalizing_Drug_Selection_Using_Advanced_Clinical_Decision_Support
Personalizing Drug Selection Using Advanced Clinical Decision Support Article (PDF Available) in Biomedical Informatics Insights 2:19-29 · June 2009 with 46 Reads How we measure 'reads'
https://www.ncbi.nlm.nih.gov/pubmed/19898682
Jun 23, 2009 · Personalizing Drug Selection Using Advanced Clinical Decision Support. Pestian J(1), Spencer M, Matykiewicz P, Zhang K, Vinks AA, Glauser T. Author information: (1)Clinical Linguistic Group, Division of Biomedical Informatics. Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229. [email protected] .Cited by: 15
http://core.ac.uk/display/27816904
Personalizing Drug Selection Using Advanced Clinical Decision Support . ... This article describes the process of developing an advanced pharmacogenetics clinical decision support at one of the United States’ leading pediatric academic medical centers. This system, called CHRISTINE, combines clinical and genetic data to identify the optimal ...
https://journals.sagepub.com/toc/bii/2/
Advanced. Sign In. Institution. Society. Access Options. ... 1 Clinical Informatics Group, ... Personalizing Drug Selection Using Advanced Clinical Decision Support. John Pestian. John Pestian. 1 Clinical Linguistic Group, Division of Biomedical Informatics. See all articles by this author.
http://www.oalib.com/paper/4003
Personalizing Drug Selection Using Advanced Clinical Decision Support Systems Theoretic Techniques for Modeling, Control, and Decision Support in Complex Dynamic Systems Adoption and sustainability of decision support for patients facing health decisions: an implementation case study in nursing
https://bpspubs.onlinelibrary.wiley.com/doi/full/10.1111/bcp.12287
Nov 20, 2013 · The operational and clinical performance and impact of the model‐based decision support can be assessed by capturing utilization including physician acceptance measures and changes in prescribing practices relative to baseline. Questionnaires can be used to get direct feedback from the user community (prior to and post‐launch).Cited by: 16
https://www.cincinnatichildrens.org/-/media/cincinnati%20childrens/home/research/cincinnati/annual-report/2009/default/pharmacology.pdf?la=en
altered drug exposure as potential predictors of adverse events when starting on MMF therapy. Pestian J, Spencer M, Matykiewicz P, Zhang K, Vinks AA and Glauser T (2009) Personalizing drug selection using advanced clinical decision support. Biomedical Informatics Insights 2:19-29.
https://onlinelibrary.wiley.com/doi/full/10.1002/humu.21456
Electronic Health Records (EHRs), with advanced functionality to support clinical decision making, quality analysis, and messaging within the healthcare information network, are known to be helpful in the containment of healthcare costs and improving patient outcomes …Cited by: 58
https://effectivehealthcare.ahrq.gov/products/cancer-decision-support-tools/research-protocol/
Only fully-developed interventions are eligible. Clinical decision support algorithms or other tools that facilitate clinician decisionmaking but are not geared toward facilitating use of a DST for shared decisionmaking are not eligible. Further, DST-based interventions are consumer-mediated interventions and fall under the purview of KQ 1.
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