Scientometric review of health data quality (focusing on disease management)

It is clear from this research that accuracy, coverage, and completeness are crucial characteristics of data quality. These factors play a key role in the management of prevention, epidemics, and disease outbreaks, as well as and mortality rates. Evaluating data quality is also important as it can have a positive impact on the quality of life, public health, and health information technologies. This study has the potential to be very useful in improving the quality of health data, the clinical informationist performances, and in turn, promoting more effective disease management.