Adherence / Churn
Analytics Wheelhouse wants to help you understand the lifetime value (LTV) of your patients and predict when each of them will churn. Reach out via the contact page so we can solve your LTV questions and churn problem.
ADHERENCE is a critical metric that pharmacies help prescribing clinics improve. Adherence not only helps the patients get better, it also impacts clinic and pharmacy reimbursement. If adherence isn't strong, it's difficult to capture the rest of a patient's medicine cabinet. Without the rest of the medicine cabinet, margins suffer with small shipments and pharmacists can't do a good job cross checking drug interactions.
Using your pharmacy's data, Analytics Wheelhouse can build models that closely predict the likelihood of each patient filling. We identify patients at various stages of commitment using machine learning and statistics.
The above figure is an example of one of our model's close predictive accuracy on real pharmacy data.
It's provable that Analytics Wheelhouse's models outperform opinions, heuristics, and manually created patient lifecycle segments.
To take things farther, Analytics Wheelhouse's models can provide insight into each patient's individual predictions. These insights help identify patient experience issues on both the individual and aggregate levels. This has huge implications both within the board room and the contact center.
Leadership will understand what is and isn't working and what issues impact the most patients
Contact center staff will understand what issues are most likely impacting each patient prior to taking a call, allowing the calls to be routed to specialists that know how to resolve those issues
Our models go beyond simplistic 180 day churn prediction. By signaling on at risk patients long before 180 day churn can, Analytics Wheelhouse's models provide tactical feedback rapidly. We identify successful and/or failed tactics without having to wait around for half a year and losing patients in the process.