Deployment of Artificial Intelligence-Based Clinical Decision Support System in Singapore

Singapore faces a growing challenge from chronic diseases, requiring a shift toward more proactive, coordinated primary care. Programs such as Screen-for-Life, the National Adult Immunization Schedule (NAIS) and Healthier SG aim to empower general practitioners (GPs) to play a greater role. While polyclinics leverage multidisciplinary "teamlets" for chronic disease management, GPs often lack access to allied health support and struggle with fragmented data systems. The private healthcare IT space is highly fragmented, with clinics using diverse clinic management systems (CMSS), complicating the delivery of consistent, data-driven care. To address these challenges, a new AI-enabled Clinical Decision Support System (CDSS) has been developed. This architecture allows the CDSS to interface flexibly with different CMSs, requiring only a lightweight agent from each clinic to pass standardized patient data. The CDSS then returns guideline-aligned care recommendations and next-best actions. Key benefits include improved decision-making, chronic disease management and proactive care through predictive risk models. The system flags care gaps, recommends interventions using Singapore-specific risk models, and leverages generative AI to personalize care further. By unifying data and streamlining workflows, the CDSS supports GPs in delivering timely, guideline-based care tailored to diverse patient needs.