Personalised health plan development using agentic AI in Singapore’s national preventive care programme: a pilot study

npj Digital Medicine 2026 Open access

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Authors: Han Leong Goh, Vicente Sancenón, Benjamin M. X. Chu, Gerald C. H. Koh, Leroy Koh, Delia Teo, Maybelline S. L. Ooi, Corryne N. Thng, Chia-Zhi Tan, David W. L. Chua, Andy W. A. Ta
DOI: 10.1038/s41746-026-02514-8
Cited by: 2
References: 50

Abstract

The workforce shortages caused by aging populations demand a transition from reactive to preventive healthcare strategies. Generative Artificial Intelligence offers a promising solution through the use of agents that can generate personalised guidance. We implement a digital assistant powered by a multi-agent framework that generates and refines personalised health plans based on user interactions. A pilot study with a cohort of 20 residents and 7 clinicians revealed positive user acceptance. Both groups rated four success metrics significantly above neutral satisfaction levels (p values:

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Digital Mental Health Interventions Machine Learning in Healthcare

Publication details

Journal / source
npj Digital Medicine
Publisher
Springer Science and Business Media LLC
Volume
9
Issue
1
Publication date
9 March 2026
Language
EN