What does data granularity describe?

Data granularity refers to the level of detail or precision with which data is collected and presented. In the context of healthcare data, higher granularity means having more specific and detailed data attributes, which can provide deeper insights and improve analysis and decision-making.

For instance, if you have data at a granular level, you may capture not just the fact that a patient has diabetes but also specific aspects like their blood sugar levels, medication doses, and frequency of check-ups. This level of detail allows for better tracking of individual patient progress and more tailored treatment plans compared to more aggregated or coarse data, such as just noting that a patient has diabetes without other pertinent details.

The other options do not accurately reflect the concept of data granularity. While accuracy of patient information is vital, it doesn't define granularity. The process of data sharing and the historical aspect of medical records are also distinct concepts that do not address the detail level of data attributes.