Predictive Adherence Modeling
Using machine learning and data analytics to predict which patients are at risk for medication non-adherence.
Predictive adherence modeling uses machine learning algorithms and data analytics to predict which patients are at risk for medication non-adherence. These models analyze patient demographics, medication history, prescription patterns, and other factors to identify patients who may need additional support or interventions to improve adherence. Early identification of adherence risks enables proactive interventions, such as patient education, reminders, or medication therapy management, to improve outcomes.
Keywords
Every Medication Workflow. Connected.
Formidable develops the systems that let healthcare organizations prescribe, sign, harmonize, and dispense — digitally and compliantly. From electronic prescriptions to FHIR interoperability, we turn complex workflows into production-ready software.