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大数据与电子健康记录。

Big data and the electronic health record.

作者信息

Peters Steve G, Buntrock James D

机构信息

Division of Pulmonary and Critical Care (Dr Peters) and Information Management and Analytics, Department of Information Technology (Dr Buntrock), Mayo Clinic, Rochester, Minnesota.

出版信息

J Ambul Care Manage. 2014 Jul-Sep;37(3):206-10. doi: 10.1097/JAC.0000000000000037.

Abstract

The electronic medical record has evolved from a digital representation of individual patient results and documents to information of large scale and complexity. Big Data refers to new technologies providing management and processing capabilities, targeting massive and disparate data sets. For an individual patient, techniques such as Natural Language Processing allow the integration and analysis of textual reports with structured results. For groups of patients, Big Data offers the promise of large-scale analysis of outcomes, patterns, temporal trends, and correlations. The evolution of Big Data analytics moves us from description and reporting to forecasting, predictive modeling, and decision optimization.

摘要

电子病历已从个体患者结果和文档的数字表示演变为大规模、复杂的信息。大数据指的是提供管理和处理能力的新技术,其目标是海量且不同的数据集。对于个体患者,自然语言处理等技术可将文本报告与结构化结果进行整合和分析。对于患者群体,大数据有望对结果、模式、时间趋势和相关性进行大规模分析。大数据分析的发展使我们从描述和报告转向预测、预测建模和决策优化。

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