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医院诊疗大数据是开展临床研究的重要资源,但是因其数据质量没有得到控制、人群代表性差、非结构性数据大量存在、不能直接回答因果关系和纵向数据结构等特征,尚不能直接用于临床研究,需要做转化处理。通过筛选研究对象、适当补充收集资料、二次结构化和数据转置等研究设计和数据处理方法,能很好地将医院诊疗大数据转化为临床研究资料,供研究使用。
Big data of hospital diagnosis and treatment is an important resource for clinical research. However, its data quality is not controlled, the population is poorly represented, there is a lot of non-structural data, and it can not directly answer the causal relationships and longitudinal data structures. It can not be directly used in clinic Research, need to do conversion processing. Through the screening of research objects, the appropriate supplementary data collection, secondary structure and data translocation research design and data processing methods, can be a good hospital diagnosis and treatment of big data into clinical research data for research use.