RASA Provides a systematic, business-driven approach to measure and evaluate data quality employing data quality dimensions, to ensure fitness for purpose and establish targets and thresholds for quality.
The business owns the data it creates and manages. No organization’s information technology staff can single-handedly improve the quality of its data. Business representatives across the patient demographic lifecycle must be engaged to determine patient demographic data’s fitness for purpose across the lifecycle; define the level of quality desired; define the level of quality acceptable.
DQA is usually performed to fix subjective issues related to business processes, such as the generation of accurate reports, and to ensure that data-driven and data-dependent processes are working as expected.
DQA processes are aligned with best practices and a set of prerequisites as well as with the five dimensions of data quality: