St-Maurice Justin, Kuo M H
School of Health Information Science, University of Victoria, BC, Canada.
Stud Health Technol Inform. 2012;180:990-4.
Primary care data represents the complete biopsychosocial profile of the patient and has recently become available for secondary analysis in Ontario. This study involved extracting de-identified primary care data and analyzing it with natural language processing to extract UMLS codes. These codes were used to statistically relate inappropriate emergency room use to biopsychosocial concepts with logistic regression. The concepts of pain and mental health were statistically significant. This technique demonstrates a creative use of primary care data. It could be used to analyze system use in other health care settings.
初级保健数据代表了患者完整的生物心理社会概况，并且最近在安大略省已可用于二次分析。本研究涉及提取去识别化的初级保健数据，并使用自然语言处理对其进行分析以提取UMLS编码。这些编码被用于通过逻辑回归在统计学上关联不适当的急诊室使用情况与生物心理社会概念。疼痛和心理健康概念具有统计学意义。这项技术展示了对初级保健数据的创造性运用。它可用于分析其他医疗环境中的系统使用情况。
