An Architecture for Continuous Data Quality Monitoring in Medical Centers.
In the medical domain, data quality is very important. Since requirements and data change frequently, continuous and sustainable monitoring and improvement of data quality is necessary. Working together with managers of medical centers, we developed an architecture for a data quality monitoring system. The architecture enables domain experts to adapt the system during runtime to match their specifications using a built-in rule system. It also allows arbitrarily complex analyses to be integrated into the monitoring cycle. We evaluate our architecture by matching its components to the well-known data quality methodology TDQM.
Computer Science 6 (Data Management), Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany.
Gregor
G
Endler
Computer Science 6 (Data Management), Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany.
Peter K
PK
Schwab
Computer Science 6 (Data Management), Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany.
Andreas M
AM
Wahl
Computer Science 6 (Data Management), Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany.
Johannes
J
Tenschert
Computer Science 6 (Data Management), Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany.
Richard
R
Lenz
D000068598:Data Accuracy; D006123:Group Practice / Q000592:standards; D006268:Health Facilities / Q000592:standards; D006801:Humans; D007407:Interviews as Topic; D011785:Quality Assurance, Health Care / Q000379:methods*; D012984:Software