Toward a veterinary informatics research agenda: an analysis of the PubMed-indexed literature.
Toward a veterinary informatics research agenda: an analysis of the PubMed-indexed literature.
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兽医信息学研究议程：对 PubMed 索引文献的分析。
DOI：
10.1016/j.ijmedinf.2006.02.009
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发表时间：
2007
影响因子：
4.9
通讯作者：
Bernstam,ElmerV
中科院分区：
文献类型：
--
作者：
Smith-Akin,KimberlyA;Bearden,CharlesF;Pittenger,StephenT;Bernstam,ElmerV
兽医和人类健康密不可分。有效跟踪兽医信息-兽医信息学-不仅影响兽医学，而且影响公共卫生，信息学研究和临床护理。然而，兽医信息学很少受到关注，从一般的生物医学信息学community.METHODSTo确定两个活跃的和研究不足的领域，在兽医信息学，我们检索医学主题标题（MeSH）描述符兽医信息学相关的引文，并分析它们的主题类别，动物类型，我们发现，增长最快的兽医信息学类别是信息/书目检索，硬件/编程，和放射学/成像。在计算机化兽医医疗记录、临床决策支持、标准和受控词汇方面，每年发表的文章不到两篇。兽医信息学文章主要涉及生产动物，如牛和羊，以及伴侣动物，如猫和狗。6种期刊占兽医信息学文献的31%，35种期刊占66%。除放射学/成像外，已发表的文章主要集中在非临床领域，如硬件/程控和信息检索。很少有出版物的控制词汇，标准，方法集成不同的系统，计算机化的医疗记录，临床决策支持系统和系统的可用性。在这些领域缺乏出版物可能会妨碍收集和跟踪动物健康数据的努力，而这些数据可能对人类健康至关重要。
PURPOSEVeterinary medicine and human health are inextricably intertwined. Effective tracking of veterinary information – veterinary informatics – impacts not only veterinary medicine, but also public health, informatics research, and clinical care. However, veterinary informatics has received little attention from the general biomedical informatics community.METHODSTo identify both active and under-researched areas in veterinary informatics, we retrieved Medical Subject Heading (MeSH) descriptors for veterinary informatics-related citations and analyzed them by topic category, animal type, and journal.RESULTSWe found that the categories of veterinary informatics with the most growth were information/bibliographical retrieval, hardware/programming, and radiology/imaging. Less than two articles per year were published in the areas of computerized veterinary medical records, clinical decision support, standards, and controlled vocabularies. Veterinary informatics articles primarily address production animals such as cattle and sheep, and companion animals such as cats and dogs. Six journals account for 31% of the veterinary informatics literature, 35 journals account for 66%.CONCLUSIONSVeterinary informatics remains an embryonic field with relatively few publications. With the exception of radiology/imaging, published articles are primarily focused on non-clinical areas such as hardware/programming and information retrieval. There are very few publications on controlled vocabularies, standards, methodologies for integrating disparate systems, computerized medical records, clinical decision support systems, and system usability. The lack of publications in these areas may hamper efforts to collect and track animal health data at a time when such data are potentially critical to human health.