What is data called that consists of factual details aggregated or summarized from a group of health records that provide no means to identify specific patients?

The correct answer is derived data. This type of data is created from the aggregation or summarization of individual health records, ensuring that the information does not contain any identifiers that could link it back to specific patients. Derived data is particularly useful in health care for purposes such as research, policy-making, and reporting, as it allows for the analysis of trends and patterns without compromising patient confidentiality.

Primary data refers to information collected directly from original sources, such as individual patient records. Qualitative data encompasses non-numeric information that describes qualities or characteristics, while quantitative data involves numeric information that can be measured or counted. In this context, derived data stands out as it specifically refers to the summarization technique for maintaining confidentiality and providing useful insights without patient identification.