Filter By “Privacy, Security & Ethics”

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Expanding Datavant Switchboard for Digital Release of Information

Today, we are excited to announce the expansion of the Datavant Switchboard to digitize the process of secure patient data release.

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What Does It Mean to “De-identify” Patient Data?

De-identifying patient data protects patient privacy while allowing health data sharing, which can improve care continuity and more.

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Synthetic Data: The Newest Tool in the Privacy Protection Tool Kit

Synthetic data is the latest breakthrough in privacy-protected health data. Join a panel with Carter Prince, Head of Growth at Syntegra, Jamie Gray, Chief Operating Officer at Mirador Analytics, Su Huang, Head of Data Strategy at Datavant, and Ofer Mendelevitch, Chief Technology Officer at Syntegra in a conversation about situations where maintaining patient privacy calls for an entirely new approach – Synthetic Data. Learn more about what it is, how it’s created and when it makes sense to employ synthetic data in your health data strategy.

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Approaches to Privacy-Preserving Data Sharing in the Healthcare Industry

Explore the landscape of privacy-preserving data sharing technologies, from synthetic data to differential privacy. For each technology, we provide summaries, pros, cons, and our projections for future usage in the healthcare industry.

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Putting the Patient First: Health Data Ethics, Technology & Consent

Moderated by Jules Polonetsky, Speakers: Inderpal Bhandari, Knut Mager, Kathryn Marchesini, Deven McGraw

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Real-World Data and Patient Privacy: What They Didn’t Teach You About Expert Determination & HIPAA

In this session co-hosted by Datavant and Mirador Analytics, we’ll share:etc...

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Why Privacy-Preserving Record Linkage is Having a Moment: Interview with Abel Kho

Discover privacy-preserving health record linkage, its demonstrated value, and its future potential in healthcare...

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Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program

Abel N. Kho, Jingzhi Yu, Molly Scannell Bryan, Charon Gladfelter, Howard S. Gordon, Shaun Grannis, Margaret Madden, Eneida Mendonca, Vesna Mitrovic, Raj Shah, Umberto Tachinardi, and Bradley Taylor
In conjunction with the All of Us Research Program, the authors looked at Electronic Health Records to understand how fragmented patient data was across a variety of health provider organizations, using a Privacy-Preserving Record Linkage tool in participating sites to generate a unique set of keyed encrypted hashes. Of the 5,831,238 individuals, 458,680 patients had data at more than one institution. Patients with some care fragmentation were almost 10 times as likely to have conflicting or inconsistent demographic data.

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Advancing the Frontier of Privacy-Preserving Technology in Healthcare

Datavant’s mission is to connect the world’s health data, and make it accessible for valuable research and analytics. The traditional approach of aggregating data creates a direct tradeoff between individual privacy and analytical capability. With health data, this isn’t good enough. The stakes are high — data-driven decisions can save lives, just…

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