Using Technology to Optimize CDK4/6 Inhibitor Adherence

In this closing segment, panelists focus on innovation in adherence tracking. Digital health platforms and mobile applications allow real-time medication monitoring, enabling clinicians to detect nonadherence early and intervene quickly. These technologies offer opportunities for personalized support, such as automated reminders and adverse-effect reporting features that connect patients directly to their care teams.

Artificial intelligence (AI) is highlighted as an emerging force in predicting adherence risks. By analyzing patient data patterns, AI systems may soon help clinicians identify individuals at risk for missed doses or therapy discontinuation. Integrating these insights into electronic health records can make adherence management proactive rather than reactive.

The segment concludes with a forward-looking perspective: technology, when combined with human-centered care, can transform how adherence is monitored, measured, and maintained—ensuring that every patient receives the full benefit of therapy.