Our Solutions
R2ML services are organized to move from data quality and study design to decision support and policy execution.
Core Services
Evaluate surveillance programs against CDC criteria including data quality, completeness, timeliness, and sensitivity to identify reporting and operational gaps.
Design and analyze cohort and policy-impact studies using robust causal inference methods and clinically meaningful interpretation.
Develop models that identify high-risk groups and support intervention targeting, planning, and resource optimization.
Map co-occurring condition profiles and trajectories to improve treatment pathway insights and phenotype-aware planning.
Analyze service utilization, treatment adherence, and decision nodes to surface bottlenecks and opportunities for quality improvement.
Assess workforce capacity, deployment, and skills alignment for sustainable staffing and training strategies.
Supporting Capabilities
HIPAA-compliant, cross-source harmonization pipelines for EHR, claims, and registry data.
Extraction of meaningful structure from clinical narrative and free-text notes.
Executive and operational dashboards for surveillance, care quality, and program metrics.