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生物医学信息学与转化医学。

Biomedical informatics and translational medicine.

机构信息

Center for Clinical and Translational Science, Department of Microbiology and Molecular Genetics, University of Vermont, College of Medicine, 89 Beaumont Ave, Given Courtyard N309, Burlington, VT 05405, USA.

出版信息

J Transl Med. 2010 Feb 26;8:22. doi: 10.1186/1479-5876-8-22.

Abstract

Biomedical informatics involves a core set of methodologies that can provide a foundation for crossing the "translational barriers" associated with translational medicine. To this end, the fundamental aspects of biomedical informatics (e.g., bioinformatics, imaging informatics, clinical informatics, and public health informatics) may be essential in helping improve the ability to bring basic research findings to the bedside, evaluate the efficacy of interventions across communities, and enable the assessment of the eventual impact of translational medicine innovations on health policies. Here, a brief description is provided for a selection of key biomedical informatics topics (Decision Support, Natural Language Processing, Standards, Information Retrieval, and Electronic Health Records) and their relevance to translational medicine. Based on contributions and advancements in each of these topic areas, the article proposes that biomedical informatics practitioners ("biomedical informaticians") can be essential members of translational medicine teams.

摘要

生物医学信息学涉及一组核心方法,可为跨越转化医学相关的“转化障碍”提供基础。为此,生物医学信息学的基本方面(例如生物信息学、成像信息学、临床信息学和公共卫生信息学)可能对于提高将基础研究成果应用于临床的能力、评估跨社区干预措施的效果以及实现转化医学创新对健康政策的最终影响的评估能力至关重要。在这里,简要介绍了一些关键的生物医学信息学主题(决策支持、自然语言处理、标准、信息检索和电子健康记录)及其与转化医学的相关性。基于这些主题领域的贡献和进步,本文提出生物医学信息学从业者(“生物医学信息学家”)可以成为转化医学团队的重要成员。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e07/2837642/dc07a7c99269/1479-5876-8-22-1.jpg

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