Managing data quality for the NIOSH claims tracking system.
Rafales-LS; Kuo-N; Wallace-PW; Wierowski-JV; Schuste-DG
Health Phys 2003 Jun; 84(Suppl):S149
A database system has been developed to track claims processed by NIOSH under the Energy Employees Occupational Illness Compensation Program. The management of data quality is a critical element to the success of this effort. Four core objectives define the data quality program: 1) to define intended uses for the data and establish data quality standards, 2) to prevent the introduction of erroneous information, 3) to diagnose and track data quality, and 4) to correct known errors or mitigate their influence. This presentation focuses on the use of data quality standards that are specific and quantifiable and which have been used to develop an ongoing historical picture of data quality that corresponds with the development and evolution of the database. Data quality indicators, such as the logical consistency of selected data elements (or the lack thereof), are presented along with diagnostic procedures that detect data anomalies in predicted patterns.
Dose-response; Exposure-assessment; Radiation-exposure; Radiation-measurement; Nuclear-energy; Nuclear-radiation; Data-processing; Computer-software; Dosimetry; Quality-standards; Employee-exposure; Information-processing; Information-retrieval-systems; Diagnostic-tests; Computer-models
Advanced Technologies Laboratories International, Inc., 2100 Sherman Avenue, Suite 250, Cincinnati, OH 45219
Abstract; Conference/Symposia Proceedings