What term describes the extent to which a system can be broken down into small parts?

Granularity is the term that describes the extent to which a system can be divided into smaller, more manageable parts or components. In the context of information systems and data management, granularity refers to the level of detail at which information is captured, stored, and analyzed. High granularity means that data is broken down into very small units, allowing for more precise analysis and finer control, while low granularity presents a more aggregated view of data.

In various fields, including health information management, having a proper level of granularity is crucial as it can affect the accuracy and usefulness of the data collected and reported. By ensuring that a system has suitable granularity, organizations can better tailor their data collection processes, resulting in more effective data analysis and decision-making.

The other options, like reliability, specificity, and validity, pertain to different characteristics of data or systems. Reliability refers to the consistency of a measurement, specificity pertains to the accuracy of test results in identifying true positives and negatives, and validity concerns whether a system measures what it is intended to measure. While these concepts are important in their own right, they do not capture the idea of breaking down systems into smaller components like granularity does.