You’ve gathered the data, and identified the gaps. What’s next?
Test interventions to increase access and use data to tell the story of how health equity strategies can drive profit.
Make Your Data More Intelligent
Define Your Population
Combine your data with our synthetic population to build a digital twin and gain insights about your populations.
Understand Their Behavior
Build bottom-up models that can see how your population makes decisions. Combine qualitative and quantitative insights to get a complete picture.
Simulate Their Responses
Test your interventions to understand their impact on your population’s health and organization’s bottom line.
Take Action With Certainty
Decide the optimal time, place, and method for interventions. Use the data to tell a story of what interventions are most likely to succeed.
Represent Reality for the First Time
Design
Use expert insights and research to identify key drivers of behavior.
Craft human-centric models to map the most critical interactions.
Calibrate
Employ AI and machine learning to train models based on your historical data.
Operationalize your data to reduce bias, understand structures, and accelerate decision-making with confidence.
Validate
Use real-world scenarios to ensure reliable predictions and effective interventions.
Rigorous ongoing testing with new data allows models to be continuously improved.
Implementation
Initial Launch
Work hand-in-hand with Epistemix to build your first models and refine populations.
Department Launch
Build models and run simulations at will with our fully hosted digital twin and simulation engine.
Enterprise Launch
Accelerate enterprise-wide decision making by connecting data silos and sharing simulation results across teams.