Assessing and Measuring Quality of Health Data -A Review

Data-driven decision-making is paramount across various industries. The quality of the data used in the decision making process is critical. This is especially true in health care. High-quality data is not just a matter of efficiency or accuracy. It directly impacts patient safety, treatment results, and the effectiveness of public health initiatives. This paper reviewed various recent research studies on the understanding and definition of data quality. Using the "fit to use" definition, ideas were extracted from recent literature on the different approaches used in a data quality assessment project that is typically a one-time event. Ideas on the various dimensions of data quality and ways to measure them to ensure data quality on an ongoing basis were also extracted. The importance of quality in healthcare data and the issues arising from its increased use were discussed in several research projects. Finally, research on the challenges of ensuring quality in health care data was highlighted. The results of this research can be used as a roadmap for the development of a data quality measurement subsystem in a health data collection system.