AI & De-Identification

[Chris Johnston]

An interesting free webinar on the topic of de-identification of health data for AI training.

From the CANON website:

Unlocking the Future of AI in Healthcare: The Role of De-Identification
Date: January 22, 2025
Time: 11:00 am – 12:30 pm EST

CANON and AccessPrivacy will host a panel webinar discussion on the use of de-identification in AI training and deployment in the health sector. A panel of experts will provide insights and actionable solutions informed by clinical and data governance perspectives from their work in the healthcare space.

The discussion will be moderated by Adam Kardash, Co-Chair of the Privacy and Data Management Group at Osler, Hoskin & Harcourt LLP and National Lead of AccessPrivacy, and Rosario Cartagena, Chief Privacy and Legal Officer at ICES and Special Counsel, Privacy and Data Management at Osler, Hoskin & Harcourt LLP.

Our moderators will be joined by the following esteemed panelists:

• Avi Goldfarb, Rotman Chair in Artificial Intelligence and Healthcare, University of Toronto

• Roxana Sultan, Chief Data Officer and Vice President, Health at the Vector Institute

• Devin Singh, Staff Physician & Co-Lead Clinical AI in Medicine at SickKids and Co-Founder & CEO of Hero AI

• Khaled El Emam, Canada Research Chair in Medical AI and Professor, School of Epidemiology and Public Health, University of Ottawa, and current Scholar-in-Residence at the Office of the Information and Privacy Commissioner of Ontario

For more information and to register, please visit our Eventbrite page.

[Chris Johnston]

A second webinar on the issue of de-identification presents an interview study with Canadian regulators.

From the Electronic Health Information Laboratory website:

On February 11, we'll present a study undertaken to better understand the perspectives of privacy regulators on anonymization practices and identify challenges to adopting anonymization. The study consisted of qualitative interviews with 93% of the privacy regulators in Canada. We'll present their perspectives and our recommendations to help reduce uncertainty around anonymization and create incentives for using privacy-enhancing technologies.

Visit Eventbrite to register free of charge.

[Alies Maybee]

@Chris-Johnston Thanks for posting this. We all need to learn as much as we can about AI as it is the future of healthcare. We are having lots of discussions about this at the PAN Board with a view to how to help us all become more comfortable with AI and our digital health future.