Research and Case Analysis on Key Issues in Medical and Health Data Processing
Objective Focus on the key issues in the medical and health data processing process,study scientific data processing methods and design concepts,and ensure the quality of data throughout the entire processing process.Methods Through literature review,proposed the key points which should be followed during each stage of data processing.And practice the data processing process using laboratory testing data from medical institutions in Shanghai as an example.Results The key points of data processing proposed in this study effectively ensure the accuracy,completeness,and consistency of data during the stages of data aggregation,cleaning,transformation,and reorganization.Conclusion In the data processing process,it is necessary to distinguish each stage reasonably,retain the dataset of each stage,conduct scientific and rigorous data quality control,discover data problems in a timely manner,and lay a foundation for subsequent medical and health research applications and policy decisions.
data processingmulti-centermedical and healthdata quality
NETL
NSTL
万方数据
