Development and Validation of a Patient-Friendly Digital Assessment Platform for Precision Screening of Oral Anti-Obesity Medications (AOMs)

This study developed a patient-facing digital health app for precision screening of oral anti-obesity medications (AOMs), integrating questionnaires, lifestyle factors, wearable signals, and prior metabolic indicators to enable personalized drug recommendations. Based on real-world testing data from 520 users, a weighted ensemble model was employed for multidimensional risk assessment, achieving 82% consistency between recommended outcomes and clinical prescriptions. UX testing validated the system's patient-friendliness, significantly enhancing appointment readiness and long-term adherence. This study provides a scalable tool for AOM clinical screening and follow-up.