Personalizing Drug Selection Using Advanced Clinical Decision Support | Zendy

John Pestian | Zendy; Malik Spencer | Zendy; Paweł Matykiewicz | Zendy; Kejian Zhang | Zendy; Alexander A. Vinks | Zendy; Tracy A. Glauser | Zendy

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Personalizing Drug Selection Using Advanced Clinical Decision Support

Author(s) -

John Pestian,

Malik Spencer,

Paweł Matykiewicz,

Kejian Zhang,

Alexander A. Vinks,

Tracy A. Glauser

Publication year - 2009

Publication title -

biomedical informatics insights

Language(s) - English

Resource type - Journals

ISSN - 1178-2226

DOI - 10.4137/bii.s2506

Subject(s) - neurocognitive , clinical decision support system , pharmacogenetics , decision support system , selection (genetic algorithm) , drug , personalized medicine , pharmacogenomics , medicine , computer science , psychology , psychiatry , intensive care medicine , artificial intelligence , bioinformatics , pharmacology , cognition , biology , biochemistry , genotype , gene

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 drug therapy when treating patients with epilepsy or Attention Deficit Hyperactivity Disorder. In the discussion a description of clinical decision support systems is provided, along with an overview of neurocognitive computing and how it is applied in this setting.

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