Hosted by: The Public Health Agency of Canada (PHAC)’s Data, Surveillance and Foresight Branch (DSFB) and National Collaborating Centre for Infectious Diseases (NCCID).
Date and time: July 29, 2025 | 1:00 to 2:00 Eastern Time / 12:00 to 1:00 Central Time
Language: English
Introduction
Please join us on Tuesday, July 29, 2025 1:00 to 2:00 ET (10:00 to 11:00 PT), for the final seminar of the 2024-2025 Surveillance Advances season, “Leveraging Electronic Health Record Data for Chronic Disease Surveillance: Data Quality Challenges.”
Population-based electronic health data, such as disease registries, administrative data, and electronic medical records are increasingly used to monitor trends and variations in chronic diseases such as diabetes, arthritis, and heart disease. The benefits of these data are timely, efficient, and cost-effective access. However these data were not intended for surveillance, and therefore their fitness for such purposes must be evaluated for these purposes. This presentation will explore questions about “fitness for use” of electronic health data in disease surveillance, and explore the role of machine-learning methods to improve data quality.
Learning Objectives
- To identify electronic health data that are used for chronic disease surveillance across Canada’s provinces and territories and initiatives to support multi-jurisdiction surveillance studies.
- To describe data quality features and their potential impact on the accuracy of chronic disease surveillance studies.
- To explore the use of machine-learning methods to evaluate and improve data quality for chronic disease surveillance.
Speaker
- Dr. Lisa Lix, Professor & Canada Research Chair, PhD P.Stat. FCAHS
Dr. Lisa Lix is a Professor of Biostatistics at the University of Manitoba and Director of Data Science at the George & Fay Yee Centre for Healthcare Innovation. She uses cutting-edge statistical and machine-learning models and combines multiple types of electronic health data to accurately measure chronic diseases for population-based risk prediction and surveillance. She also co-leads multi-site research networks in Canada and internationally to improve the portability of health outcomes and data models across jurisdictions and over time, including Health Data Research Network Canada and the Canadian Network for Observational Drug Effect Studies. In addition, she co-leads data science training programs, such as the AI4PH National Training Program, to equip the next generation of researchers and decision makers to extract policy-relevant insights from electronic health data.
Moderators
- Robert Sager, NCCID
Format
This seminar will be held on Zoom. The presentation will be 30 minutes followed by approximately 15 minutes for a discussion and question period from attendees. Presentation materials in English and French will be distributed through NCCID media channels.
Access Instructions
All instructions for the seminar series will be posted on the Zoom registration page and will be emailed to all registrants prior to the event.
Past Webinars
Surveillance Advances launched in September 2023 with a discussion about the foundational concepts of public health surveillance and the future opportunities that lie ahead. Subsequent seminars featured topics related to health inequalities (seminar 2), data science (seminar 3), maternal and newborn health (seminar 4), and injury surveillance (seminar 5). For a complete list of seminars and to view their recordings, please visit the Surveillance Advances webcasts page
Accreditation Statement
Surveillance Advances is a self-approved group learning activity (Section 1) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada. Surveillance Advances is also approved by the Council of Professional Experience for professional development hours for members of the Canadian Institute of Public Health Inspectors.
