Electronic medical records in multiple sclerosis research

Electronic medical records in multiple sclerosis research
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多发性硬化症研究中的电子病历

DOI:
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发表时间:
2018
期刊:
影响因子:
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通讯作者:
P. Gourraud
P. Gourraud
中科院分区:
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文献类型:
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作者:
V. Damotte;P. Gourraud

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随着人类活动中许多流程的大规模数字化,电子病历(EMR)越来越多地部署在医疗中心。EMR有可能成为未来医学研究和实践评估的主要真实的生活数据源。多发性硬化症是一个典型的例子,一个复杂的疾病,可以受益于这个新的信息来源。今天,研究人员和临床医生都可以使用工具来识别多发性硬化症患者,并以高精度提取人口统计学和临床变量。然而,无论(EMR)数据有多“大”,EMR数据生成都存在固有的偏差。必须对这些进行研究并最终在分析中加以解释,以实现为所有人提供个性化医疗的承诺,并对多发性硬化症进行大型临床和研究。
With the massive digitalization of many processes involved in human activities, electronic medical records (EMR) are being increasingly deployed in medical centers. EMR have the potential to become a main major real‐life data source for future medical research and evaluation of practice. Multiple sclerosis is a paradigmatic example of a complex disease that can benefit from this new source of information. Today, researchers and clinicians alike have access to tools allowing an en masse identification of multiple sclerosis patients, and extraction of demographics and clinical variables with high accuracy. However no matter how “big” the (EMR) data might be, biases are inherent to EMR data generation. These have to be studied and eventually accounted for in analysis in order to fulfill the promise of personalized medicine for all, and carrying out large clinical and research studies in multiple sclerosis.
DOI: 10.1016/j.envres.2015.11.017
发表时间: 2016-02
影响因子: 8.3
作者:
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