Data integrity refers to what characteristic of data?

Data integrity refers to what characteristic of data?

• A. The accuracy and consistency of data throughout its lifecycle.
• B. The speed at which data can be retrieved.
• C. The format used to store data.
• D. The number of copies of data maintained.

Answer: (A)

Data integrity is about keeping data accurate and consistent from its creation through its entire life cycle, across all systems and uses. When data stays true to its source, isn’t corrupted, and remains the same whenever it’s accessed or updated, it can be trusted for decision-making and safety. In healthcare, this means patient information like demographics, diagnoses, and allergies remains correct and consistent everywhere it’s stored or displayed. This focus on accuracy and consistency is what makes the description of data integrity the best choice. Retrieval speed relates to performance, not whether data stays correct over time. The format used to store data concerns data representation and standards, not whether the data remains intact. The number of copies talks about redundancy and backups, which affect availability, not the integrity of the data itself.

Data integrity is about keeping data accurate and consistent from its creation through its entire life cycle, across all systems and uses. When data stays true to its source, isn’t corrupted, and remains the same whenever it’s accessed or updated, it can be trusted for decision-making and safety. In healthcare, this means patient information like demographics, diagnoses, and allergies remains correct and consistent everywhere it’s stored or displayed.

This focus on accuracy and consistency is what makes the description of data integrity the best choice. Retrieval speed relates to performance, not whether data stays correct over time. The format used to store data concerns data representation and standards, not whether the data remains intact. The number of copies talks about redundancy and backups, which affect availability, not the integrity of the data itself.