Data quality and information quality are fundamental to CIHI’s mandate to
Our data quality program is recognized nationally and internationally for its comprehensiveness and high standards. Its goal is to continuously improve data and information quality within CIHI and the broader health sector.
Our strategy for data quality is based on a six-point plan designed to
Improving data and information quality is a collaborative effort. CIHI works with its data suppliers and users to support each of these activities. All staff play some role in helping to manage the quality of our data. This collaborative effort is designed to meet the changing and expanding user requirements and expectations of CIHI’s data holdings.
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Data quality in action
Reports and analyses
Data Quality Framework
Dimensions of data quality
Each program area at CIHI regularly performs a number of data quality activities to help prevent, detect, monitor and resolve data issues, including
CIHI’s Data Quality Framework (2009) sets out an approach to systematically assess, document and improve data quality for all of our data holdings. This framework is based on the five dimensions of quality and helps us identify both strengths and limitations in our data. After the assessment, we identify how to improve the data, and we provide documentation to help users determine whether the data meets their needs and, if so, how to use it appropriately.
CIHI uses five dimensions to define data and information quality:
CIHI also performs special data quality studies to check the accuracy of the data supplied to us. For data holdings that are based on data extracted from patients’ medical records or charts, we perform reabstraction studies. In these studies, we visit a sample of submitting health care organizations to review a sample of the original patient charts and compare this information with what exists in CIHI’s data holding. To date, we have conducted studies on the following databases: