传感器、信号与成像信息学：循证健康信息学。
Sensor, signal, and imaging informatics: evidence-based health informatics.
作者信息
Voros S, Moreau-Gaudry A
机构信息
Laboratoire TIMC-IMAG, équipe GMCAO, IN3S, pavillon Taillefer, Faculté de Médecine, 38706 La Tronche Cedex, France. E-mail:
出版信息
Yearb Med Inform. 2013;8:117-9.
OBJECTIVES
This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2013 of excellent research in the broad field of Sensor, Signal, and Imaging Informatics published in the year 2012.
METHODS
We performed a systematic initial selection and a double blind peer review process to find the best papers in this domain published in 2012, from the PubMed and Web of Science databases. A set of MeSH keywords provided by experts was used.
RESULTS
Current research in the field of sensor signal and imaging informatics is based on innovative sensors from which relevant information (signal and imaging) can be acquired and integrated into workflow based or patient based models. This rich environment can help the medical staff in carrying out more optimal care. The demonstration of the added value of such innovations is more and more performed through evidence-based evaluations.
CONCLUSIONS
The best paper selection of articles on sensors, signal, and imaging informatics illustrates the wide spectrum covered by this field in 2012, and the attention paid to evaluations.
目标
本综述为《国际医学信息学协会（IMIA）2013年年鉴》挑选了2012年发表的传感器、信号与成像信息学广泛领域中的优秀研究。
方法
我们进行了系统的初步筛选和双盲同行评审流程，从PubMed和科学网数据库中找出2012年该领域发表的最佳论文。使用了专家提供的一组医学主题词（MeSH）关键词。
结果
传感器信号与成像信息学领域的当前研究基于创新传感器，从中可获取相关信息（信号和成像）并将其整合到基于工作流程或基于患者的模型中。这种丰富的环境有助于医护人员提供更优化的护理。此类创新附加值的证明越来越多地通过循证评估来进行。
结论
关于传感器、信号与成像信息学的最佳论文选集展示了该领域在2012年涵盖的广泛范围以及对评估的关注。
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