Our Data and Information Quality Program is recognized internationally for its comprehensiveness and high standards . We work with our data suppliers and users to ensure we continue to be a trusted source of health information that meets the broadening needs of our stakeholders.
Data Quality by Data Holding
Narrow the search results below by using the drop-down menu to choose a data holding, or use the search bar for more freedom. You can also sort results by year.
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|Discharge Abstract Database Open-Year Data Quality Test Specifications 2018–2019||2018||
The Discharge Abstract Database (DAD) is routinely analyzed for data quality issues during the submission year and after database closure. Suspect findings are communicated back to the submitting facilities for investigation and correction while the database is still open for submission
|CPCD||MIS Patient Cost Database Methodology||2019||
A comprehensive methodology that describes allocation and cost distribution per patient visit for comparisons and decision-making on resource consumption and performance.
|HMHDB||Hospital Mental Health Database, 2017–2018: User Documentation||2017-2018||
Review the composition of the Hospital Mental Health Database, data quality and other information relevant to data users.
|NACRS||National Ambulatory Care Reporting System Open-Year Data Quality Test Specifications, 2018–2019||2018||
Open-year data quality tests performed on NACRS in 2018–2019, including the rules, patient care types, submission levels, selection criteria and data elements used.
|NACRS||Data Quality Documentation, National Ambulatory Care Reporting System Current-Year Information, 2017–2018||2017-2018||
Data Quality Documentation, National Ambulatory Care Reporting System Current-Year Information, 2017–2018
|NRS||National Rehabilitation Reporting System, Data Quality Documentation, 2017–2018||2018||
Information on the fitness of National Rehabilitation Reporting System (NRS) data for various uses.
|OMHRS||Ontario Mental Health Reporting System — Data Quality Documentation, 2017–2018||2017-2018||
Information on the quality of the data for the relevant fiscal year, as well as on major historical changes to the database.