Epi-Q


EPI-Q, Inc. is a premier scientific agency and consultancy dedicated to providing novel research, strategic direction, and communication solutions. Since 1994, they have been helping clients solve complex issues through a multidisciplinary team of experts in epidemiology, health economics, and outcomes research. Their mission is to advance patient access and outcomes by generating real-world evidence and population health tools, supporting healthcare systems, payers, providers, and policymakers.

Industries

Biopharma
Health Care
Pharmaceutical
Research Services

Nr. of Employees

small (1-50)

Epi-Q

Chicago, Illinois, United States


Products

Population-based risk stratification tools

Analytic tools developed to identify patients at risk for significant clinical events and support population health management.

Interactive economic and decision models

Decision-analytic and economic models (e.g., Markov, microsimulation) used for cost-effectiveness and budget impact analyses, often delivered as interactive tools.

Shared decision-making and patient decision aids

Patient-facing decision aids and shared decision-making tools to support informed treatment choices and preference-sensitive care.

Modeling & Meta-Analysis

Expert services providing interactive economic and decision models as well as meta-analysis solutions.

Quality Improvement

Consulting and research services focused on healthcare quality improvement and population-based tools.


Services

Pragmatic and traditional clinical trial support, claims and EMR analysis, disease registries, chart reviews, and stakeholder surveys to generate real-world clinical and economic evidence.

Cost-effectiveness and budget impact analyses, and preference/utility elicitation to quantify value and inform payer decisions.

Direct and indirect meta-analysis, epidemiologic modeling, and decision-analytic model development for comparative effectiveness and policy evaluation.

Burden of disease assessment and development of system-integrated data analysis tools for health-system level decision support and patient risk stratification.

Preparation of evidence dossiers and formulary evaluation to support product reimbursement and payer engagement.

Quality-improvement interventions including treatment decision aids and time-in-motion analyses to optimize care delivery.

Expertise Areas

  • Real-world evidence generation
  • Health economics and outcomes research (HEOR)
  • Epidemiologic and decision-analytic modeling
  • Meta-analysis and evidence synthesis
  • Show More (4)

Key Technologies

  • Claims and EMR database analysis
  • Registry data management
  • Decision-analytic modeling (Markov, microsimulation)
  • Network meta-analysis
  • Show More (6)

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