Protecting Health Information. Ensuring Data Integrity.
Protecting Health Information. Ensuring Data Integrity.
EHIL Blog and Announcements
Synthetic Data Summit 2025 in Montreal
More information about the 2025 Synthetic Data Summit that will be held on 16th May in Montreal, and registration link.
.png "Webinar Recording: Rescuing Low Accrual Clinical Trials with Generative Models")
Webinar Recording: Rescuing Low Accrual Clinical Trials with Generative Models
On March 19 we presented an engaging discussion of how generative models can be used to simulate patients in low accruing trials.
Webinar Recording: Practical experiences with synthetic health data generation
Dr. Khaled El Emam provides an overview of his experience with synthetic health data generation.
Synthetic Data Summit 2023
See the recordings from the Synthetic Data Summit that took place in London, UK on November 30, 2023. The summit was co-hosted by Replica Analytics, an Aetion company, and the University of Ottawa.
TMC AI Summit 2025 (February 20-21, 2025)
On February 21, Khaled El Emam will present the keynote address at the Texas Medical Center AI Summit 2025 in Houston, TX.
Presentation at PHUSE Data Transparency Winter Event (4th February 2025)
EHIL Postdoctoral Fellow, Lisa Pilgram, will be presenting at the PHUSE Data Transparency Winter Event on February 4, 2025 on "Reducing Regulatory Uncertainty Around Anonymisation: Perspectives of Canadian Privacy Regulators".
IPC panel on The power of PETs: Privacy enhancing technologies (28 January 2025)
On January 28, join Khaled El Emam and an esteemed panel of experts to hear how PETs can be used in practice to support innovation while also protecting privacy.
.png "Webinar: How Canadian Regulators Approach De-Identification: An Interview Study")
Webinar: How Canadian Regulators Approach De-Identification: An Interview Study
Lisa Pilgram and Khaled El Emam share the results of an interview study with Canadian privacy regulators to understand their perspectives on data anonymization.
Re-identification risk threshold literature review
A literature review on precedents for the threshold for re-identification risk.
Webinar: What not to do when publishing a machine learning modeling study
Dr. Khaled El Emam distills key learnings about publishing studies utilizing machine learning models.