- Clinical decision-making, triage, risk stratification
- Health outcomes & quality improvement analytics
- Biostatistics, causal inference, and evidence synthesis
- Health economics, resource allocation, operations research
- Responsible clinical AI, interpretability, evaluation
- Decision support systems and real-world data methods
Aims & Scope
Decision science and analytics for rigorous, interpretable, and actionable healthcare research.