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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 drug therapy when treating patien...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773552/ https://www.ncbi.nlm.nih.gov/pubmed/19898682 http://dx.doi.org/10.4137/BII.S2506 |
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author | Pestian, John Spencer, Malik Matykiewicz, Pawel Zhang, Kejian Vinks, Sander Glauser, Tracy |
author_facet | Pestian, John Spencer, Malik Matykiewicz, Pawel Zhang, Kejian Vinks, Sander Glauser, Tracy |
author_sort | Pestian, John |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2773552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-27735522009-11-05 Personalizing Drug Selection Using Advanced Clinical Decision Support Pestian, John Spencer, Malik Matykiewicz, Pawel Zhang, Kejian Vinks, Sander Glauser, Tracy Biomed Inform Insights Case Report 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. SAGE Publications 2009-06-23 /pmc/articles/PMC2773552/ /pubmed/19898682 http://dx.doi.org/10.4137/BII.S2506 Text en © 2009 SAGE Publications. http://creativecommons.org/licenses/by/2.0/ This article is distributed under the terms of the Creative Commons Attribution 2.0 License (http://www.creativecommons.org/licenses/by/2.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Case Report Pestian, John Spencer, Malik Matykiewicz, Pawel Zhang, Kejian Vinks, Sander Glauser, Tracy Personalizing Drug Selection Using Advanced Clinical Decision Support |
title | Personalizing Drug Selection Using Advanced Clinical Decision
Support |
title_full | Personalizing Drug Selection Using Advanced Clinical Decision
Support |
title_fullStr | Personalizing Drug Selection Using Advanced Clinical Decision
Support |
title_full_unstemmed | Personalizing Drug Selection Using Advanced Clinical Decision
Support |
title_short | Personalizing Drug Selection Using Advanced Clinical Decision
Support |
title_sort | personalizing drug selection using advanced clinical decision
support |
topic | Case Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773552/ https://www.ncbi.nlm.nih.gov/pubmed/19898682 http://dx.doi.org/10.4137/BII.S2506 |
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