Data quality is an important part of information processing, but its
application in practice is often underestimated. The complexity of data quality management, especially in the case of big data, makes it difficult to work in
different areas of application. Although medical records are a significant source of
errors in most cases data quality assessment on medical data is partially performed.
The presented data quality analysis and recommendations in this paper can help
physicians and software developers to understand better data quality dimensions,
identify gaps in quality assessment, and develop |own procedures and techniques
that correspond to their specific use cases.BG05M2OP001-1.001-0004 Universities
for Science, Informatics and Technologies in the e-Society (UNITe) and the National Scientific Program “eHealth” in Bulgaria
