T/SHIA 015-2025 Big data technology: Standards for evaluating the quality of medical health data

Scope

Scope: This document specifies the content of the quality evaluation model, evaluation methods, and evaluation processes for health care data in the context of big data. This document is applicable to the specific implementation of data quality evaluation for the entire life cycle of health care big data, and provides a reference for relevant institutions in the health field to evaluate data quality. Main technical content: It mainly provides corresponding solutions to the challenges of medical health data quality evaluation to meet the demand for high-quality data in the medical industry. In the field of medical health, data quality directly affects the accuracy and reliability of medical decisions, but there are currently many problems with the quality of medical health data. Based on the theory of the data quality life cycle, this standard constructs a comprehensive and systematic data quality evaluation model and proposes the implementation process of this model and the evaluation process in practical applications. Through this standard, medical health institutions can conduct a comprehensive and accurate evaluation of their own data quality, identify data quality problems in a timely manner, and take targeted improvement measures, thereby improving data quality, providing reliable basis for medical decision-making, and promoting the high-quality development of the medical health industry.

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