The quality of data is a key issue for any healthcare registry. RIAP data, about the surgeries of hip, knee, shoulder and ankle, is described by a set of variables (MDS – Minimum Data Set), each one with its own domain and dependencies from other variables (business rules). High-quality data relies on records whose values respect both the domain and the business rules for the variables. BRAVa (Business Rules Automatic Validator) is a service that automatically applies the required validity checks to data and generates detailed reports to allow detection of quality issues.

BRAVa: improving the quality of RIAP data through automated validation / Bacocco, Duilio Luca; Carrani, Eugenio; Cornacchia, Attanasio; Torre, Marina. - (2021). ((Intervento presentato al convegno 10th International Congress of Arthroplasty Registries, 2nd Virtual Congress tenutosi a Copenhagen, Denmark.

BRAVa: improving the quality of RIAP data through automated validation

Duilio Luca Bacocco
;
2021

Abstract

The quality of data is a key issue for any healthcare registry. RIAP data, about the surgeries of hip, knee, shoulder and ankle, is described by a set of variables (MDS – Minimum Data Set), each one with its own domain and dependencies from other variables (business rules). High-quality data relies on records whose values respect both the domain and the business rules for the variables. BRAVa (Business Rules Automatic Validator) is a service that automatically applies the required validity checks to data and generates detailed reports to allow detection of quality issues.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11573/1619163
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