Which type of data consists of aggregated factual details and does not allow for patient identification?

The correct choice is derived data. This type of data is created by aggregating original or source data and is often used for analysis purposes. Derived data summarizes information in a way that removes personal identifiers, ensuring that individual patient identities cannot be traced back from the aggregated information. This is crucial for maintaining patient confidentiality and complying with privacy regulations like PHIPA (Personal Health Information Protection Act).

Derived data is frequently used in research, statistical analysis, and public health reporting, where insights are needed without compromising patient confidentiality. In contrast, original or source data refers to the individual records containing patient-specific information. Protected data may suggest information that still requires safeguarding because it includes identifiable patient details. Understanding these distinctions is vital for health information management practices that aim to protect patient privacy while leveraging data for various applications.