ARM is grounded in validated behavioral science. Its foundation includes:
The Subjective Health Experience (SHE) model
A framework designed to understand how patients perceive their condition, treatment, and personal control — key drivers of adherence behavior.
The B-COMPASS computational model
Developed within the EU-funded BEAMER project (IMI2 / EFPIA under Horizon 2020), B-COMPASS integrates behavioral variables to predict adherence risk with increased precision
By combining these frameworks, ARM moves beyond engagement and into predictive behavioral modeling.
This scientific grounding ensures that adherence risk management is evidence-based, not assumption-driven.
ARM is delivered through a secure, scalable SaaS infrastructure built specifically for clinical research environments. Core components include:

A user-friendly interface delivering personalized modules, check-ins, and support content.
Built with secure data architecture aligned to regulatory and privacy standards.
The result: real-time adherence intelligence without increasing administrative burden.
Accessible alternative interface ensuring inclusivity and flexibility.
Seamless integration with outcome data systems, enabling alignment between adherence insights and clinical data.
