Knowledge management and informatics considerations for comparative effectiveness research: a case-driven exploration.
Knowledge management and informatics considerations for comparative effectiveness research: a case-driven exploration.
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DOI：
10.1097/mlr.0b013e31829b1de1
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发表时间：
2013-08
期刊：
影响因子：
3
通讯作者：
Payne PR
中科院分区：
文献类型：
--
作者：
Embi PJ;Hebert C;Gordillo G;Kelleher K;Payne PR
随着临床数据越来越多地以电子方式收集和存储，它们在比较有效性研究(CER)中的潜在用途也在增长。尽管有这样的承诺，但那些希望利用这些数据的人面临着挑战。在这篇文章中，我们旨在列举一些与此类数据重用有关的知识管理和信息学问题。在回顾了与CER相关的生物医学信息学挑战和最佳实践的知识现状后，我们在我们机构提出了两个研究项目。我们对这些进行了分析，并强调了与开展CER研究相关的几个共同主题和挑战。最后，我们代表这些新出现的主题。进行经济、社会和文化权利研究的人通常遇到的信息学挑战包括与数据信息和知识管理有关的问题(例如数据重复使用、数据准备)以及与人和组织问题有关的问题(例如社会技术因素和组织因素)。对这些例子进行了更详细的描述，并提出了描述这些发现的正式框架。研究人员在尝试使用经常不同和不同的数据集进行CER时面临着巨大的挑战。必须了解这些挑战，才能成功地应对这些挑战，而且通常可以通过适当使用信息学最佳做法来克服这些挑战。许多研究和政策问题仍有待回答，以充分发挥用于此类研究的日益电子化的临床数据的全部潜力。
As clinical data are increasingly collected and stored electronically, their potential use for comparative effectiveness research (CER) grows. Despite this promise, challenges face those wishing to leverage such data. In this paper we aim to enumerate some of the knowledge management and informatics issues common to such data re-use. After reviewing the current state of knowledge regarding biomedical informatics challenges and best practices related to CER, we then present two research projects at our institution. We analyze these and highlight several common themes and challenges related to the conduct of CER studies. Finally, we represent these emergent themes. The informatics challenges commonly encountered by those conducting CER studies include issues related to data information and knowledge management (e.g. data re-use, data preparation) as well as those related to people and organizational issues (e.g. socio-technical factors and organizational factors). Examples of these are described in further detail and a formal framework for describing these findings is presented. Significant challenges face researchers attempting to use often diverse and heterogeneous datasets for CER. These challenges must be understood in order to be dealt with successfully and can often be overcome with the appropriate use of informatics best practices. Many research and policy questions remain to be answered in order to realize the full potential of the increasingly electronic clinical data available for such research.