A data quality management and control framework and model for health decision support

Abstract

Health data quality issues are important influencing factors on the validity and scientific nature of health decisions. However, a series of health data quality issues have emerged, such as serious lack of key data terms and non-uniform data standards because of the complexity and diversity of health data. Based on the current state of data quality for health decision support, the paper proposes a framework and model for health data quality management and control. And a method of data quality inspection, processing and assessment applicable for the health data with complex types is designed based on the proposed model. On the one hand, it defines the inspection model of the semi-structured health data, designs the quick calling strategy of the inspection rules, and makes clear the data quality inspection method and problematic data processing method. On the other hand, it proposes a mathematic model for objective and quantitative evaluation of the health data. This paper provides future reference for addressing the data quality management of health decision support systems and to protect for the practical value thereof.