T/JSIA 0004-2024 Healthcare Big Data Data Quality Management Specification

Scope

Main Technical Content: 4.2 Basic Principles of Data Quality Management Data quality management should follow the following principles: a) Applicability: Refers to whether the collected statistical data is useful and meets users' needs. b) Accuracy: The data should be true, reflect the actual situation, and have low error rates. c) Timeliness: Provide data in a timely manner. d) Comparability: Internationally and domestically comparable, with consistent statistical standards; and connectivity across different years. e) Completeness: The content of data elements should be complete, without omissions or incompleteness. f) Simplicity: Information should be concise and essential. g) Accessibility: Easy to obtain data and related statistical information and consulting services. h) Full lifecycle: Covering all stages of data planning, acquisition, storage, sharing, maintenance, application, and elimination. 4.3 Data Quality Management Process Data collection, format checking, content validation, data integration, and data review. 5. Grading System 5.1 Data Quality Grading a) A data quality grading standard should be established, with a comprehensive evaluation based on the completeness of reported data and user feedback, and the results dynamically updated. b) Data quality levels should include at least two grades: - Grade I: All data comply with data norms and pass format and content checks. - Grade II: All mandatory data comply with data norms and pass format and content checks, but non-mandatory data do not fully meet data norms. Grade II data are the main objects of subsequent correction and supplementation. 5.2 Data Use Grading Data use levels should be set based on the meaning, content, and scope of application of the data, and data openness and sharing should be managed according to these levels. Generally, two levels are set: - Online sharing: Users can query, browse, and download data through the data engineering data cen

Development Information

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