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What IS (and isn't) an
Expert Determination anyway?
Bobby Samuels, General Manager of Privacy Hub,
offers an introduction to what constitutes an Expert Determination, elaborating on common misconceptions about these HIPAA de-identification risk assessments.
The linkage and utilization of health data can lead to a range of insights that benefit patients, from understanding quality and cost of care to enabling research for the purpose of improving treatments. Data linkage also presents challenges, and chief among them is the protection of patient privacy.
The US Health Insurance Portability and Accountability Act (“HIPAA”) delineates two methods through which data de-identification can be achieved: Safe Harbor and Expert Determination. Safe Harbor requires the removal of eighteen specific identifiers, including age, zip code, gender, and dates of service. While useful in some circumstances, the Safe Harbor method has been subject to criticism for its extensive restrictions on data utility.
The Expert Determination methodology, which is a more flexible and customized approach to de-identifying patient data, is the most commonly used HIPAA compliance method for innovative research. It consists of a statistical assessment of re-identification risk led by a properly qualified expert experienced in generally accepted statistical principles and scientific methods. The output of an Expert Determination includes a report listing the necessary data actions that need to be taken and other conditions that need to be met in order for a dataset to meet HIPAA’s de-identification standard and be ready for use.
It is also important to consider what an Expert Determination isn’t:
Another common misconception about Expert Determinations is the idea that if two datasets that have been individually de-identified are linked together, that will automatically yield a de-identified output dataset. To the contrary, in these cases, another assessment is needed to render the newly combined dataset de-identified. This is because the variables in the individual de-identified datasets may not collectively have sufficiently low re-identification risk when used in combination.
Overall, once an Expert Determination is issued, it is imperative to adhere to the conditions required by the expert on the final report, as doing so ensures companies uphold the legally binding standards for protecting privacy via de-identification while simultaneously maximizing health data utility.
The Last Few
Weeks in a Flash
But to answer your question
about Expert Determinations...
Guidance Regarding Methods for De-identification of Protected Health Information in Accordance with the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule
“[There are] two methods to achieve de-identification in accordance with the HIPAA Privacy Rule. The first is the “Expert Determination” method. . .” Keep reading
5 Considerations for Getting Expert Determination Right
By Jamie Blackport
“In this [blog], we look at five key considerations for obtaining fast and fit-for-purpose HIPAA expert determination that can make privacy and compliance a more seamless, transparent and scalable process: (1) Data quality and standardization, (2) Understanding of use cases, (3) Speed and scale, (4) Technology integration, [and] (5) Ongoing support and maintenance.” Keep reading
De-Identification of PHI According to the HIPAA Privacy Rule
“The two HHS-approved methods for the de-identification of PHI can aid in clinical research while ensuring HIPAA compliance and patient privacy.” Keep reading
Best of the Rest
Here's a Privacy + Security Forum presentation by privacy expert Dr. Daniel Barth-Jones and others on de-identification, pseudonimization, anonymization, and cryptographic tokenization for privacy lawyers and compliance managers.