Biomedical Informatics Insights
Synopsis: An open access, peer reviewed electronic journal that covers all aspects of biomedical informatics and biomedical informatics supported decision-making.
Indexing: Two major databases. Pubmed indexing for NIH-funded research.
Processing time: Decision in 2 weeks for 90% of papers.
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Personalizing Drug Selection Using Advanced Clinical Decision Support
John Pestian1, Malik Spencer1, Pawel Matykiewicz1, Kejian Zhang2, Sander Vinks3 and Tracy Glauser4
1Clinical Linguistic Group, Division of Biomedical Informatics. 2Division of Human Genetics. 3Division of Clinical pharmacology. 4Division of Neurology. Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229.
Abstract
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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