Note Over Identification Text

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The first HIPAA-compliant way to disidentify protected health information is to remove specific identifiers from the data set. The identifiable data that must be removed are: Names. Geographic subdivisions smaller than a state.
As discussed below, the Privacy Rule provides two identification methods: 1) a formal determination by a qualified expert. Or 2) the removal of specified individual identifiers as well as absence of actual knowledge by the covered entity that the remaining information could be used alone or in combination with other
Common strategies of identification are masking personal identifiers and generalizing quasi-identifiers. Pseudonymization is the main technique used to mask personal identifiers from data records and k-anonymization is usually adopted for generalizing quasi-identifiers.
Names. Geographic locators. All elements of dates (except the year) that are related to an individual. Telephone, cellphone, and fax numbers. Email addresses. IP addresses. Social Security Numbers.
Individually identifiable health information is a subset of health information, and as the name suggests, is health information that can be linked to a specific person, or if it would be reasonable to believe that an individual could be identified from the information.
In education, disidentified data generally refers to data from which all personally identifiable information has been removed.e., data about individual students, teachers, or administrators that has been rendered anonymous by stripping out any information that would allow people to determine an individual's identity.
Identification is the process used to prevent someone's personal identity from being revealed. For example, data produced during human subject research might be disidentified to preserve privacy for research participants. Identification is adopted as one of the main approaches of data privacy protection.
The term disidentified data refers to patient data from which all information that could reasonably be used to identify the patient has been removed/replaced (e.g., removing name, address, SSN, etc). It uses statistical and scientific principles and methods proven to render information not individually identifiable.
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