What term describes aggregated information that protects patient identity but provides useful health data insights?

The term that describes aggregated information which protects patient identity while still offering valuable health data insights is derived data. Derived data is created by processing and summarizing primary data, often through methods such as statistical analysis or aggregation. This means that while individual patient records are anonymized, the overall trends, patterns, and insights that emerge from the aggregated dataset can still inform healthcare decisions, research, and policy-making without compromising individual privacy.

In contrast, primary data refers to the original raw data collected directly from patients or health records without any alteration. Raw data is the unprocessed, detailed dataset that contains all patient identifiers and sensitive information. Confidential data encompasses information that must be safeguarded to protect patient privacy but does not inherently describe data that is aggregated or used for insights. Derived data specifically addresses the need for privacy while still enabling the use of health data for analysis and reporting purposes.