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使用先进的临床决策支持系统实现药物选择个性化。

Personalizing Drug Selection Using Advanced Clinical Decision Support.

作者信息

Pestian John, Spencer Malik, Matykiewicz Pawel, Zhang Kejian, Vinks Alexander A, Glauser Tracy

机构信息

Clinical Linguistic Group, Division of Biomedical Informatics. Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229.

出版信息

Biomed Inform Insights. 2009 Jun 23;2:19-29. doi: 10.4137/bii.s2506.

DOI:10.4137/bii.s2506
PMID:19898682
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2773552/
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.

摘要

本文介绍了美国一家领先的儿科学术医疗中心开发先进药物遗传学临床决策支持系统的过程。这个名为CHRISTINE的系统结合了临床和基因数据,以确定治疗癫痫或注意力缺陷多动障碍患者时的最佳药物治疗方案。在讨论中,提供了临床决策支持系统的描述,以及神经认知计算的概述及其在这种情况下的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e021/7492859/e5ff4002dd94/10.4137_BII.S2506-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e021/7492859/c46d6523813a/10.4137_BII.S2506-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e021/7492859/c3a35b81b172/10.4137_BII.S2506-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e021/7492859/b97a8c3a38c9/10.4137_BII.S2506-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e021/7492859/37a864ef140f/10.4137_BII.S2506-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e021/7492859/e5ff4002dd94/10.4137_BII.S2506-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e021/7492859/c46d6523813a/10.4137_BII.S2506-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e021/7492859/c3a35b81b172/10.4137_BII.S2506-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e021/7492859/b97a8c3a38c9/10.4137_BII.S2506-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e021/7492859/37a864ef140f/10.4137_BII.S2506-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e021/7492859/e5ff4002dd94/10.4137_BII.S2506-fig5.jpg

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本文引用的文献

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Clinical decision support systems: Important tools when appropriately used.临床决策支持系统:恰当使用时的重要工具。
Pediatr Crit Care Med. 2009 Jan;10(1):128-9. doi: 10.1097/PCC.0b013e31819838f9.
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From data interoperability to value-driven healthcare.从数据互操作性到价值驱动型医疗保健。
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Clinical decision support systems in the pediatric intensive care unit.儿科重症监护病房中的临床决策支持系统。
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Clinical Pharmacogenetics of Cytochrome P450-Associated Drugs in Children.儿童中细胞色素P450相关药物的临床药物遗传学
J Pers Med. 2017 Nov 2;7(4):14. doi: 10.3390/jpm7040014.
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The reliability of an epilepsy treatment clinical decision support system.癫痫治疗临床决策支持系统的可靠性
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Paediatric models in motion: requirements for model-based decision support at the bedside.动态儿科模型:床边基于模型的决策支持的要求。
Br J Clin Pharmacol. 2015 Jan;79(1):85-96. doi: 10.1111/bcp.12287.
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Gaps and opportunities in refractory status epilepticus research in children: a multi-center approach by the Pediatric Status Epilepticus Research Group (pSERG).儿童难治性癫痫持续状态研究中的差距和机遇:儿科癫痫持续状态研究组(pSERG)的多中心方法。
Seizure. 2014 Feb;23(2):87-97. doi: 10.1016/j.seizure.2013.10.004. Epub 2013 Oct 16.
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NINDS epilepsy and autism spectrum disorders workshop report.NINDS 癫痫与自闭症谱系障碍研讨会报告。
Neurology. 2013 Oct 29;81(18):1630-6. doi: 10.1212/WNL.0b013e3182a9f482. Epub 2013 Oct 2.
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Management of childhood epilepsy.儿童癫痫的管理
Continuum (Minneap Minn). 2013 Jun;19(3 Epilepsy):656-81. doi: 10.1212/01.CON.0000431381.29308.85.
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What's In a Note: Construction of a Suicide Note Corpus.遗书里有什么:自杀遗书语料库的构建
Biomed Inform Insights. 2012;5:1-6. doi: 10.4137/BII.S10213. Epub 2012 Nov 5.
Pediatr Crit Care Med. 2009 Jan;10(1):23-8. doi: 10.1097/PCC.0b013e3181936b23.
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The role of laboratory information systems in healthcare quality improvement.实验室信息系统在医疗质量改进中的作用。
Int J Health Care Qual Assur. 2008;21(7):679-91. doi: 10.1108/09526860810910159.
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Making us smart: why the design of clinical decision support systems is so critical.让我们变得聪明:为何临床决策支持系统的设计如此关键。
Laryngoscope. 2008 Dec;118(12):2121-4. doi: 10.1097/MLG.0b013e31818ee143.
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An architecture for linking medical decision-support applications to clinical databases and its evaluation.一种将医学决策支持应用程序与临床数据库相连接的架构及其评估。
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Event-related potentials and recognition memory.事件相关电位与识别记忆。
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Educating health-care professionals about genetics and genomics.对医疗保健专业人员进行遗传学和基因组学教育。
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