Data De-Identification in Complex Data Sharing Arrangements: How AI, MNPI Considerations, and Innovative Downstream Data Models Are Changing De-Identification Strategies | McDermott Skip to main content

Data De-Identification in Complex Data Sharing Arrangements: How AI, MNPI Considerations, and Innovative Downstream Data Models Are Changing De-Identification Strategies

Overview


As data-sharing models become more complex and AI-driven use cases continue to expand, traditional approaches to data de-identification are being reevaluated. Organizations are no longer operating within simple, linear disclosure frameworks – today’s environments often involve multiple recipients, overlapping roles, cloud-based infrastructures, and evolving downstream uses that challenge longstanding assumptions about privacy and confidentiality.

This webinar will explore how de-identification strategies are adapting in response to these shifts, including the growing intersection with material non-public information (MNPI) considerations and the increasing scrutiny on how data is accessed, combined, and reused across ecosystems. Speakers will discuss how organizations can assess and manage re-identification risk, structure data-sharing arrangements, and implement governance frameworks that remain effective in dynamic, multi-party environments.


Continuing Legal Education (CLE) credit is pending. McDermott Will & Schulte is an approved provider and can provide credit in California, Illinois, and New York. McDermott Will & Schulte is a sponsor and will apply for credit in Delaware, Florida, Georgia, Tennessee, Texas, and Virginia when lawyers licensed in these jurisdictions are in attendance. We can issue reciprocal credit for lawyers licensed in Connecticut and New Jersey. For all other jurisdictions not listed, attendees will be provided with a Universal Certificate of Attendance which they may use to self-apply for CLE credit in their state of admission. Attendees should contact their state’s CLE Board for current rules, regulations, and guidance.

SPEAKERS


Bradley Malin, PhD, Accenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, Vanderbilt University Medical Center

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