Data integrity refers to the correctness of data after processing, storage, or transmission.

• A. The correctness of data after processing, storage or transmission
• B. The encryption of data during transmission
• C. The speed of data retrieval
• D. The accuracy of data at initial entry

Answer: (A)

Maintaining data accuracy and consistency across its entire lifecycle—through processing, storage, and transmission—is what data integrity is about. It means the data remain correct and unaltered as it moves and is stored, with mechanisms to detect and prevent corruption. The statement describing the data as correct after processing, storage, or transmission best captures this idea, because integrity concerns fidelity throughout the data’s journey, not just at the moment of entry. In healthcare, preserving data integrity supports patient safety and reliable reporting, relying on validation, error-checking, and audit trails. Encryption protects confidentiality, not the ongoing accuracy of data. Speed of data retrieval is about performance, not whether data stay correct. Accuracy at initial entry refers only to the moment data are entered, whereas integrity covers correctness across subsequent processing, storage, and transmission.