26 In addition to modifying the algorithm, errors in patient identifiers can be improved by improving data quality at source and with improvement to patient tracing skills 25 and other mechanisms that generate linkage errors.
EMR data can support quality improvement work if used wisely; such work could also contribute to steadily improving data quality.
This component addresses various methods for improving data quality.
Indeed, everyone must be able to contribute to improving data quality, interpreting analyses, and conducting their own experiments.
The Data Quality Broker allows for querying and improving data quality values.
Several recommendations are made for improving data quality and reporting consistency on this important issue.
Improving data quality and supervision of antiretroviral therapy sites in Malawi: an application of Lot Quality Assurance Sampling.
The remote sensing community has responded to this increased interest by improving data quality and methodologies for extracting land cover information.
The literature on data quality in disease registries is inconsistent and ambiguous; methods used for classifying, measuring, and improving data quality are not standardised.
Admon AJ, Bazile J, Makungwa H, Chingoli MA, Hirschhorn LR, Peckarsky M, Rigodon J, Herce M, Chingoli F, Malani N, Hedt-Gauthier BL. (2013) Assessing and improving data quality from community health workers: a successful intervention in Neno, Malawi.
Improving data quality is far more than purging datasets of errors; it is critical to improve the processes that produce the data, to collect good data sources for generating the data, and to address the root causes of problems.
