What does "data integrity" ensure in health information management?

Data integrity is a fundamental principle in health information management that ensures health information is accurate, complete, and safeguarded against unauthorized access and alterations. This concept is critical because it directly impacts patient care, clinical decision-making, and overall healthcare quality.

When health information is accurate, it means that the data reflects the true and current state of a patient's health status or treatment history. Completeness ensures that all necessary information is collected and documented, allowing for comprehensive patient care. Safeguarding this information protects against unauthorized access, ensuring that only those with the appropriate permissions can view or manipulate the data.

This adherence to data integrity supports regulatory compliance, enhances patient trust, and fosters effective communication among healthcare providers. It is essential not only for clinical care but also for administrative responsibilities, regulatory reporting, and research that relies on valid health data.

Other options do not correctly define data integrity. Limiting information to authorized personnel pertains more to data access control than to integrity itself. Recycling outdated information does not support the principle of maintaining accurate and current records, and sharing all information with the public could compromise privacy and confidentiality, which are protected under laws such as HIPAA.