More Than a Data Point: Ensuring the Patient’s Voice Shapes How We Measure Engagement with Digital Tools & AI
- Co-designing the dashboard by involving patients directly in shaping the digital tools and AI systems that measure their engagement, ensuring these platforms are intuitive, useful, and respectful of their time and energy
- Delivering the transparency dividend by giving patients direct access to their own engagement data, helping them see how their activity connects to personalized actions and building trust, motivation, and data accuracy
- Interpreting data with context by ensuring AI algorithms incorporate the patient’s voice to prevent harmful biases, recognizing that qualitative stories and feedback are essential for understanding quantitative engagement data and avoiding misreadings such as assuming low usage equals disengagement
- Establishing ethical guardrails as a foundation by involving patient advocates in creating the frameworks for data use, ensuring that measuring engagement is ethical, consensual, and aligned with patient approval