01
Digital Cardiovascular Health Platform
A shared infrastructure for discovering, integrating, storing, and sharing UHN heart patient data so research teams can work from linked real-world evidence.
AI for heart failure research and care
Clinical AI, built with evidence.
The Ted Rogers Centre for Heart Research AI team turns deeply linked cardiovascular data, machine learning, and implementation discipline into tools for researchers, clinicians, and patients across UHN.
From Data to clinical signal.
TRCHR's Data Science & Machine Learning program brings together software developers, data scientists, engineers, managers, biostatisticians, regulatory specialists, cardiologists, and trainees to advance personalized cardiovascular care.
02
Computational Program
Data science, machine learning, and traditional statistical methods fused into practical studies, models, and quality-improvement programs.
03
Implementation Governance
QI, REB, privacy, scoring rubrics, and executive intake paths shape how promising AI pilots become reliable clinical capabilities.
Areas of impact
Unlock valuable cardiovascular data
Integrate EMRs, clinical notes, research data, machine data, ECG signals, echocardiography images, and wearable readings into a usable research environment.
Accelerate grounded research
Use AI and machine learning to study heart failure from new angles, support pragmatic trials, and produce evidence from millions of patient encounters.
Move toward person-centered care
Translate complex analytics into earlier risk detection, more precise prognosis, better care pathways, and safer clinical operations.
Drive system-wide change
Build common infrastructure and review pathways so successful heart failure AI projects can scale inside Canada's largest hospital network.