Precision diabetes management with AI-driven nudging
The Empower+ app, powered by HealthGen's unified biomarker platform, was tested in a 997-patient RCT across SingHealth Polyclinics to evaluate how AI-enabled behavioral interventions improve glycaemic control.
The intervention
Across 997 patients, the platform combined personalised nudging, structured behavioral logging, and integration of activity and glucose-related biomarkers to strengthen diabetes self-management in primary care settings.
At the heart of the trial was an AI engine capable of profiling daily lifestyle signals and predicting behavior—reaching over 90% median accuracy in predicting whether a participant would achieve 30 minutes of MVPA or complete an activity log on a given day.
Three-layer precision engine
AI profiling, biomarker integration, and closed-loop feedback
Behavioral AI
Precision-timed nudges based on predicted behavior
Models analyze daily lifestyle signals to predict activity completion with >90% accuracy, triggering personalized nudges at optimal times.
Biomarker streams
Continuous activity + CGM for comprehensive profiling
Weekly analysis of steps, MVPA, and CGM data generates automated insights and personalized notifications that reinforce behavior change.
Closed-loop system
App, wearables, CGM, coaches, and clinicians unified
Glucose variability, lifestyle logs, and AI nudges connect patient app, health coaches, and polyclinic clinicians in a single workflow.
Closed-loop engagement architecture
Real-time biomarkers feed AI models that trigger precision nudges
Clinical outcomes
997-patient RCT demonstrated significant improvements in glycaemic control and patient activation
A hybrid implementation study across three SingHealth Polyclinics similarly showed reductions in HbA1c, blood pressure, and improvements in patient activation measures.
The evidence
Precision nudging—driven by behavioral AI models and real-time biomarker integration—provides a scalable, personalized mechanism to reinforce healthy habits, improve diabetes self-management, and deliver measurable metabolic improvements in routine primary care.
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