PROVEDIA
Improve forecast accuracy and quantify patient investment value with PROVEDIA integris
A completely new approach to patient demand that leverages contemporary science on patient behavior and novel insights through machine-learning.
Patient-based demand research struggles with two problems leading to patient demand estimates that can’t be taken seriously.
Patients don’t know how to estimate the realistic likelihood of engaging in new behavior
Patients exert multiple kinds of influence on demand — but most are never considered
PROVEDIA integris helps your patient demand study improve forecast accuracy by:
Measuring patients’ real-world likelihood of impacting share
Integrating easily with most treater-centric models
Finding gaps in patient understanding and motivation