Submitted:
16 January 2026
Posted:
16 January 2026
You are already at the latest version
Abstract
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.
Keywords:
AOMs
; precision medication
; digital health
; patient-friendliness
; risk assessment
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