医疗大数据质量评价及管理研究综述

A Review of Researches on Quality Evaluation and Management of Medical Big Data

目的/意义归纳数据质量评价常用维度,概述医疗大数据质量评价和管理方法的类型及特点,为医疗大数据质量评价和管理提供参考。方法/过程梳理国内外医疗大数据质量相关文献,重点分析质量评价的维度、方法及管理。结果/结论数据质量标准有助于医疗大数据规范管理,应尽快建立和完善科学合理且符合我国国情的医疗大数据质量评价体系及全流程数据质量管理体系,促进我国医疗大数据的发展和应用。

Purpose/Significance To summarize the common dimensions of data quality evaluation,and to expound the types and characteristics of medical big data quality evaluation and management methods,so as to provide references for medical big data quality evaluation and management.Method/Process The paper reviews domestic and foreign medical big data quality related literature,and emphatically analyzes medical big data quality evaluation dimensions,methods and management.Result/Conclusion Data quality standards are conducive to standardized management of medical big data.A scientific and reasonable medical big data quality evaluation system and a whole-process data quality management system in line with national conditions in China should be established and improved as soon as possible to promote the development and application of medical big data in our country.