Discussion Sessions – Past Events
Look below for information on our past events in this series…
Pan-Canadian Health Data Stewardship
Maureen Kelly discusses how CIHI is leading a pan-Canadian data…
Health Data Research (HDR) Alliance: Working Collectively to Advance World-Leading Data Use
In this session, Anne Hayes discusses the evolution of the…
The Modernization of HDRN Canada's Data Access Services
Carrie-Anne Whyte discusses how from knowledge and resource sharing across…
The Three-Province Pilot Study of a Text De-Identification Algorithm for Electronic Health
In this presentation, Dr. Lisa Lix, Mahmoud Azimaee, and James…
The Value of Data Linkage and Addressing Privacy Challenges
Dr. Donna Curtis Maillet and Michelle Marquis explore the value…
Applications of Federated Data Architecture in Canadian Public Health
Jurisdiction and organizations are rightly concerned about the ethical, economic…
Canada's Vision for Modern, Connected Care
Patrick Lagioia and Elizabeth Toller provide an update on the…
Linkage of Canadian Longitudinal Study on Aging Data at HDRN Canada Data Centres
Dr. Andrew Costa and Lindsey Gilbert describe the purpose of…
Generating and Applying Synthetic Health Data
Dr. Khaled El Emam reviews the use of generative models…
Pan-Canadian Health Data Stewardship
Maureen Kelly discusses how CIHI is leading a pan-Canadian data stewardship approach to tackle the human, organizational and governance barriers, and what changes are needed to break down difficult to access health data silos to safely unlock the power of our health data.
Health Data Research (HDR) Alliance: Working Collectively to Advance World-Leading Data Use
In this session, Anne Hayes discusses the evolution of the Health Data Research (HDR) Alliance — a collective made up of HDRN Canada and its external partners working together to advance world-class data use.
The Modernization of HDRN Canada's Data Access Services
Carrie-Anne Whyte discusses how from knowledge and resource sharing across data centres, to piloting new methods and tools, to modernizing our forms and services, the collaborative, pan-Canadian DASH team is transforming data access services across the network and the health data ecosystem.
The Three-Province Pilot Study of a Text De-Identification Algorithm for Electronic Health
In this presentation, Dr. Lisa Lix, Mahmoud Azimaee, and James King, describe a pilot study to develop the process and evaluate the outcomes of implementing a machine-learning de-identification algorithm for free text.
The Value of Data Linkage and Addressing Privacy Challenges
Dr. Donna Curtis Maillet and Michelle Marquis explore the value of administrative data linkage for health research. Data linkage is a powerful data research tool used by many organizations with numerous benefits. While data linkage can accelerate and enhance research, ensuring data privacy can be a challenge.
Applications of Federated Data Architecture in Canadian Public Health
Jurisdiction and organizations are rightly concerned about the ethical, economic and reputational impacts of data breaches or mistakes. In this video, Chris Allison discusses an alternate world where people get the care they need without data ever leaving the building.
Canada's Vision for Modern, Connected Care
Patrick Lagioia and Elizabeth Toller provide an update on the progress made towards implementing key priorities of the Working Together to Improve Health Care for Canadians plan through the Joint Federal, Provincial and Territorial (FPT) Action Plan on Health Data and Digital Health.
Linkage of Canadian Longitudinal Study on Aging Data at HDRN Canada Data Centres
Dr. Andrew Costa and Lindsey Gilbert describe the purpose of the Canadian Longitudinal Study on Aging (CLSA) initiative, the partners involved, the means by which they are achieving their goals, and lessons learned throughout the process.
Generating and Applying Synthetic Health Data
Dr. Khaled El Emam reviews the use of generative models to produce synthetic real-world data and clinical trial data, along with studies evaluating the replicability of analyses using synthetic data and the privacy risks of synthetic data.