Beyond the Algorithm: Integrating Systems Thinking into Precision Population-based ASD Screening
| Monday, May 11, 2026 |
| 10:00 AM - 10:30 PM |
| South Room |
Overview
Dr. Christine Armour
Details
At the end of this session participants will be able to:
1. Show how collaboration with diverse partners and data sources can inform the development of a prediction tool
2. Discuss how co-development with patients, families, clinicians, and programs is essential to building acceptable, sustainable and scalable solutions
3. Explore how lessons from other screening systems can inform implementation options for an AI prediction tool for autism spectrum disorder (ASD)
Speaker
Dr Christine Armour
Cheo
Presenter
Biography
Dr. Christine Armour, MS MD FRCPC CCMG, is an Associate Professor of Pediatrics at the University of Ottawa, Clinical Geneticist at CHEO, co-Medical Director (Genetics) of Prenatal Screening Ontario, and Investigator at the CHEO Research Institute.
Her recent research in mental health sits at the intersection of health screening, child and youth neurodevelopmental disorders, and artificial intelligence. Dr. Armour leads a research program that applies advanced machine learning and data science approaches to large, population-based health datasets to improve early identification and outcomes for mental health conditions such as autism spectrum disorder. By leveraging linked administrative and clinical data and systems thinking, the goal is to develop predictive models that enable early detection and timely intervention, reduce inequities in access to care, and support a more proactive approach.
In parallel with her leadership of Ontario’s prenatal screening system, Dr. Armour advances precision public health approaches that integrate AI-driven analytics with real-world health data. Her work bridges clinical practice, research, and policy, supporting evidence-informed decision-making and system transformation for children and families across the province.
Her recent research in mental health sits at the intersection of health screening, child and youth neurodevelopmental disorders, and artificial intelligence. Dr. Armour leads a research program that applies advanced machine learning and data science approaches to large, population-based health datasets to improve early identification and outcomes for mental health conditions such as autism spectrum disorder. By leveraging linked administrative and clinical data and systems thinking, the goal is to develop predictive models that enable early detection and timely intervention, reduce inequities in access to care, and support a more proactive approach.
In parallel with her leadership of Ontario’s prenatal screening system, Dr. Armour advances precision public health approaches that integrate AI-driven analytics with real-world health data. Her work bridges clinical practice, research, and policy, supporting evidence-informed decision-making and system transformation for children and families across the province.