Which of the following is NOT a characteristic of high-quality healthcare data?

High-quality healthcare data is characterized by its relevance, currency, and consistency, which are essential for ensuring that the information can be effectively used for decision-making, compliance, and patient care.

Data relevancy refers to the extent to which the data meets the needs of users and aligns with their goals. Data currency indicates that the information is up-to-date, ensuring that decisions are based on the latest available data. Data consistency signifies that the information is reliable and standardized across different systems and sources, which helps in accurately interpreting the data.

In contrast, while data accountability is important within the broader context of information governance, it is not directly classified as a characteristic of high-quality data itself. Data accountability pertains to the responsibility involved in managing and maintaining data, ensuring its integrity and the ethical use of that data. Although accountability is crucial for establishing trust and reliability in data processes, it does not directly define the quality of the data itself as do relevancy, currency, and consistency.