Personalizing Drug Selection Using Advanced Clinical Decision Support

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Personalizing Drug Selection Using Advanced Clinical ...

    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

(PDF) Personalizing Drug Selection Using Advanced Clinical ...

    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'

Personalizing Drug Selection Using Advanced Clinical ...

    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

Personalizing Drug Selection Using Advanced Clinical ...

    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 ...

Biomedical Informatics Insights - Volume 2, Number , Jan ...

    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.

Advanced decision support for complex clinical decisions ...

    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

Paediatric models in motion: requirements for model‐based ...

    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

FY09 Annual Report Clinical Pharmacology

    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.

Emerging landscape of genomics in the electronic health ...

    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

Decision Support Tools for Screening and Treatment ...

    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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