Data extracted from health records and used in registries and databases are classified as:

The classification of data extracted from health records and used in registries and databases as a secondary data source is accurate because secondary data refers to information that was collected by someone other than the user for a different purpose. In this context, health records are initially created for patient care or clinical purposes, but when that data is repurposed for research, analysis, or inclusion in registries, it becomes secondary data.

In health informatics and data analysis, secondary data sources are valuable for various analytical projects, including clinical research, epidemiological studies, and public health monitoring. They allow analysts to gain insights without directly collecting new data, which can be resource-intensive. Secondary data is especially important in health care, as it can include a wide range of information such as demographic details, treatment outcomes, and disease incidence from established databases and registries.

Primary data, on the other hand, refers to data collected firsthand for a specific purpose, which is not applicable when using existing health records. Tertiary data sources typically compile and summarize primary and secondary data but do not find their roots in direct record collection. Raw data refers to unprocessed data, which is not the case here as the data used in registries and databases is often processed and analyzed for specific uses