VIRTUAL

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

Webinar

April 23, 2026

Event details

April 23, 2026

This event is in the past. See recordings and other materials from this event below.

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 explored 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 discussed 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.

Speakers

With a practice focused primarily on the development, delivery and implementation of digital health solutions, data and research, Jennifer S. Geetter works closely with both adopters and developers to bring their innovative healthcare solutions to patients and providers. In order to design and deploy digital health technologies effectively, Jenn offers valuable guidance on key issues, like patient on-boarding, provider implementation, privacy and regulatory issues. She advises global life sciences, healthcare and informatics clients on legal issues attendant to digital health, biomedical innovation, research compliance, global privacy and data security laws, and financial relationship management. Jennifer represents a broad range of clients, including the following:

Mobile app, mHealth, and other digital health technology companies and platform providers
Informatics, data broker and data aggregator companies
Pharmaceutical, device and biologics companies
Health plan, institutional healthcare provider and other enterprises
Research institutes

Clients seek Jennifer out for her knowledge on the development of data and biospecimen registries and real-world evidence (RWE). She advises healthcare and life sciences stakeholders in considering the complex regulatory and implementation challenges that arise when developing these registries and other digital care solutions, including research, compliance, privacy, interoperability, and data governance, access and curation. Jenn also considers a range of other issues that impact how registries are built, including data governance strategies and application. She has built a strong reputation for counseling clients through registry development, with special emphasis on navigating the unique legal nuances around genetic information, biospecimens, sensitive data and other special use cases. Jennifer assists these clients with a range of projects, including the following:

Health Insurance Portability and Accountability Act (HIPAA), Federal Trade Commission (FTC), and state and federal privacy, security and breach response preparedness and response
Development and implementation of data-sharing strategies and platforms to achieve business objectives, particularly in connection with biomedical innovation, healthcare reform, electronic health record implementation and quality assurance requirements
Data privacy, data mapping and data use strategies for mobile apps and other mHealth and digital technologies
Research compliance, research program structure, and operational and compliance infrastructure
Complex research affiliation agreements and arrangements
Scientific review and research misconduct proceedings and investigations (internal and with government involvement)
Biobanking and registry development and compliance, including emerging issues in the future, unspecified use of biospecimens and genomic data

In her work with digital health clients on strategic and compliance counseling, Jennifer is especially knowledgeable on interoperable, comprehensive data collaborations and data webs, and human subject research compliance. Her forward-thinking and strategic vision have benefited clients in the development of comprehensive data strategies concerning areas such as privacy, security, data mapping, secondary data use, availability and interoperability.