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
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: <0.05). The majority of residents valued the personalisation (p value: 0.003), appreciated the level of granularity (p value: 0.0003), and did not express major concerns about the recommended plans (p value: 0.941). More than 50% of the collected feedback reflected a positive sentiment on the personalised diet (p value: 0.110), personalised exercise (p value: 0.003), and general features (p value: 6e-06). This pilot study highlights the potential of AI-driven digital assistants in supporting preventive healthcare programmes.