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How valuable is privacy-preserving
data sharing, really?
Jonah Leshin, Head of Privacy Research at Privacy Hub by Datavant,
offers examples of ways in which privacy-preserving data sharing can provide value to patients and organizations.
Privacy-preserving exchange of health data is highly valuable for the betterment of public health. In particular, social determinants of health (SDOH) data plays a critical role in identifying the root causes that underlie disparate health outcomes across different populations. These causes can then often be addressed through public policy and programs.
To take an example, consider the issue of substance abuse. By analyzing SDOH data in combination with electronic medical records, researchers may be able to identify high-risk areas or populations for substance abuse. These might be communities with high unemployment rates, limited public transportation, or areas where access to healthcare services, including mental health and addiction services, is limited. Such findings can guide targeted interventions, such as employment initiatives, improved access to mental health services, or increased funding for local substance abuse programs.
Preserving patient privacy is of the utmost importance for such a study due to the sensitivity of the information at hand. Data sources can protect privacy by de-identifying the data prior to sharing it. De-identifying the data removes any directly identifying information and makes the risk of re-identification very small while preserving sufficient research utility. In this case, for example, a de-identified dataset may contain an anonymized patient identifier along with information like income bands and whether they had an emergency room visit in the past year.
Providers and public institutions alike are generally more comfortable sharing this data in de-identified form to protect privacy. Additionally, in the presence of recent state-level consumer data privacy laws, de-identifying SDOH data according to the standards set therein may be required in order to use the data for certain analyses.
The Last Few
Weeks in a Flash
But to answer your question
about privacy-preserving data sharing...
Data Sharing That Safeguards Patient Privacy Is Crucial for Future of Medicine, Says Yale Researcher
“It is the responsibility of researchers to tell ‘the truest truth,’ says Daniel Boffa, MD, professor of surgery (thoracic). The accuracy and precision of medical research depend on the data used. The medical community has increasingly recognized the importance of data sharing. . . The compilation of greater data sets allows investigators to generate a more complete picture of what is happening in patients.” Keep reading
Healthcare Data Sharing Is Essential To The Future Of Medicine
“Healthcare data coupled with [privacy] regulations enable health systems to provide consistent and stable care across a continuum of entities. On a higher level, this de-identified information often informs new therapies and adds to existing therapies to improve patient outcomes. Additionally, it can greatly fuel innovative treatments to the market by expanding and diversifying existing research databases.” Keep reading
Takeaways from Real-World Data Connect | Privacy & Data Governance Track
“Connecting de-identified real world data holds tremendous potential, but that potential can only be realized with thoughtful approaches to patient privacy. Without a careful plan for linking de-identified patient records, researchers may lose the information necessary for impactful analysis, or, on the other end of the spectrum, expose patient records to unwarranted privacy risk.” Keep reading
Best of the Rest
In an interview for the Partially Redacted: Data Privacy, Security & Compliance podcast, Future of Privacy Forum's Researcher for Health and Wellness, Jordan Wrigley, discusses the importance and complexity of privacy when using health data to “make the world a better place.”