What is a de-identified dataset under HIPAA?

Study for the HIPAA CLA-100 Certification Exam. Practice with flashcards and multiple choice questions, each question has hints and explanations. Get ready for your exam!

A de-identified dataset under HIPAA refers to health information that has had personal identifiers removed. This means that any information that could potentially identify an individual, such as names, Social Security numbers, or full addresses, has been eliminated from the dataset. This is crucial because de-identified information is not considered protected health information (PHI) and is therefore not subject to the same privacy and security regulations as identifiable health data. The process of de-identification is designed to protect the privacy of individuals while still allowing for valuable data analyses or research to occur.

This option explicitly states the action of removing personal identifiers, aligning perfectly with HIPAA’s definition of de-identified data. In contrast, other choices either do not capture the essence of de-identification or pertain to data types that do not meet the HIPAA criteria for exclusion from protected status. For instance, publicly available health information could still contain identifiable elements, and general health statistics, while useful, may not encompass the specific criteria outlined by HIPAA regarding de-identification. Randomized data for research purposes may also involve identifiable information or not fit the legal framework for de-identification as defined under HIPAA, thus making this the most accurate and relevant answer.

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