Striving for use Case Specific Optimization of Data Quality Assessment for Health Data
Tute, E.
Studies in Health Technology and Informatics 251: 113-116
2018
ISSN/ISBN: 1879-8365 PMID: 29968615 Document Number: 696433
Data quality (DQ) assessment is advisable before (re)using datasets. Besides supporting DQ-assessment, DQ-tools can indicate data integration issues. The objective of this contribution is to put up for discussion the identified current state of scientific knowledge in DQ-assessment for health data and the planned work resulting from that state of knowledge. The state of scientific knowledge bases on a continuous literature survey and tracking of related working groups' activities. 95 full text publications constitute the considered state of scientific knowledge of which a representative selection of six DQ-tools and -frameworks is presented. The delineated future work explores multi-institutional machine learning on the DQ-measurement results of an interoperable DQ-tool, with the goal to optimize DQ-measurement method combinations and reference values for DQ-issue recognition.