Adherence Cartography is built on a simple observation:
we predict nonadherence well, yet population outcomes rarely improve.

The Theory of Predictive Emergence (TPE) explains why.

https://doi.org/10.5281/zenodo.18209699

For decades, adherence has been measured as a static outcome. A score. A snapshot. Useful for prediction, insufficient for intervention. TPE reframes adherence as a dynamic system whose stability depends on the alignment of three domains: structural capacity, execution, and real-world context. When one domain constrains the system, effort elsewhere cannot compensate.

Adherence Cartography applies this theory to practice.

Rather than asking only whether patients adhere, we map how adherence forms, drifts, stabilizes, or collapses over time. We focus on where systems fail, why interventions miss, and how clinicians can act earlier and more precisely.

Our work translates TPE into applied tools that support measurement, interpretation, and intervention design across clinical and population settings.

What we do

Develop theory-driven frameworks that explain the gap between adherence prediction and intervention

Support research and pilots that operationalize TPE in real clinical workflows

Enable pharmacists, clinicians, and health systems to identify the dominant constraint limiting adherence and target it directly

Adherence Cartography is not about measuring more.
It is about measuring differently, so intervention finally becomes possible.

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