What does data integrity mean in health information systems?

What does data integrity mean in health information systems?

• A. Data integrity means ensuring data is accurate, complete, and unaltered.
• B. Data integrity means data is secure from theft.
• C. Data integrity means data is easily accessible.
• D. Data integrity means data is stored in one location.

Answer: (B)

Data integrity in health information systems means that information remains accurate, complete, and unaltered as it is captured, stored, retrieved, and shared. It ensures the data reflects what happened in the real world, includes all necessary elements, and isn’t changed except through proper, authorized processes. In healthcare, this reliability is crucial because clinicians rely on trustworthy data to make safe decisions about diagnoses, treatments, and patient outcomes. Techniques that support integrity include input validation and consistency checks, audit trails that record who changed what and when, version control, and strong access controls to prevent unauthorized edits. Security from theft, easy accessibility, and storing data in one location address different concerns. Protecting data from theft focuses on confidentiality and security measures, not on whether the data remains accurate or unaltered. Accessibility relates to whether the data is available when needed, and storing in a single location concerns architecture and redundancy, not the trustworthiness of the data itself.

Data integrity in health information systems means that information remains accurate, complete, and unaltered as it is captured, stored, retrieved, and shared. It ensures the data reflects what happened in the real world, includes all necessary elements, and isn’t changed except through proper, authorized processes. In healthcare, this reliability is crucial because clinicians rely on trustworthy data to make safe decisions about diagnoses, treatments, and patient outcomes. Techniques that support integrity include input validation and consistency checks, audit trails that record who changed what and when, version control, and strong access controls to prevent unauthorized edits.

Security from theft, easy accessibility, and storing data in one location address different concerns. Protecting data from theft focuses on confidentiality and security measures, not on whether the data remains accurate or unaltered. Accessibility relates to whether the data is available when needed, and storing in a single location concerns architecture and redundancy, not the trustworthiness of the data itself.