Research & Advisory
ERIM Consulting works at the intersection of public health science and computational methods, helping health systems and funders understand where prevention can have the greatest impact and what the evidence says about how to get there. Work spans three connected areas:
Understanding who is at risk and how
This work focuses on identifying populations where clinical, behavioral, and social risks compound in ways that drive preventable poor outcomes. It brings together public health subject matter expertise with computational and machine learning approaches, working with structured health system data including common formats like OMOP to identify the population patterns that matter most for prevention.
Understanding what works for those populations
This work draws on longitudinal and observational health system data to inform how preventive interventions are designed and how they can be optimized across different population subgroups in real-world settings, generating evidence that is both rigorous and decision-relevant.
From evidence to action
Drawing on extensive experience in evidence synthesis and data harmonization across varying national and provincial contexts, this work helps health systems and funders translate complex findings into investment decisions and prevention strategies, connecting rigorous analysis to real decisions, shaping how insights move from research into practice.