According to an article Understanding Safe Harbor and Expert Determination in Healthcare Data Security by SynapseHealthTech, published on LinkedIn: “The Safe Harbor method is a prescriptive approach to de-identification that focuses on the removal of specific identifiers from patient data. According to HIPAA regulations, the Safe Harbor method requires the removal of 18 distinct types of identifiers before the data can be considered de-identified. The logic behind this method is that by stripping away these key identifiers, the risk of re-identifying an individual is significantly reduced.”
Related: How to de-identify protected health information for privacy
45 CFR § 164.514(b)(2)(i) provides for the following identifiers to be removed When applying the Safe Harbor method:
SynapseHealthTech notes, “One of the key advantages of the Safe Harbor method is its clarity. By providing a well-defined list of identifiers that must be removed, the Safe Harbor approach is relatively easy to implement and validate. It offers a clear, standardized way for healthcare organizations to comply with HIPAA’s de-identification requirements.”
Additionally, “The Safe Harbor method can be applied to large datasets with relative efficiency, making it a practical solution for healthcare providers and researchers looking to de-identify large volumes of data quickly.”
“While Safe Harbor is a straightforward method, it is not without its limitations. One of the most significant criticisms is that it operates under a "one-size-fits-all" model, which may not be suitable for all contexts. The removal of geographic identifiers smaller than a state, for instance, can reduce the data’s utility for certain types of research, such as epidemiological studies that require regional specificity,” states SynapseHealthTech
Furthermore, “The Safe Harbor method can be vulnerable to re-identification attacks, especially if de-identified data is combined with external datasets. For instance, advances in data mining techniques and the availability of supplementary data sources (e.g., public voting records or social media) have increased the risk of re-identification, even in datasets that meet Safe Harbor standards.”
This analysis is supported by TechTarget in their article De-Identification of PHI According to the HIPAA Privacy Rule, which states, “The biggest downside to the safe harbor method is its potential to remove so much valuable data that the information is no longer useful for research purposes.”
Read also: How to choose the right method for deidentification
Yes, organizations can freely use and share the data for research, quality assessment, and other purposes without HIPAA restrictions.
Even a single overlooked identifier means the data is not properly de-identified and remains subject to all HIPAA regulations and potential penalties for unauthorized disclosure.
Any organization handling protected health information of U.S. patients must comply with HIPAA requirements, including proper de-identification through Safe Harbor or Expert Determination, regardless of their location.