National University Healthcare System deploys Endeavour AI platform for real-time clinical decision support and disease prediction

Singapore's National University Healthcare System needed a scalable approach to augment frontline medical worker decision-making across its facilities. Clinicians faced the challenge of processing vast amounts of patient data in real-time to deliver timely, evidence-informed care.

NUHS deployed the Endeavour AI platform, led by Dr. Kee Yuan Ngiam, which uses real-time AI and streaming data infrastructure to augment frontline medical worker decisions. The system is capable of predicting disease onset up to a year in advance and applies AI-driven insights at the point of care.

The platform enables AI-augmented clinical decision-making in real-time across NUHS facilities. Disease prediction capabilities operating up to a year ahead represent a significant advance in proactive care delivery. The deployment was covered in The Lancet and featured in official NUHS press releases.

• Real-time streaming data infrastructure is a key enabler for AI at the point of care, not just batch analytics.
• AI can be used proactively for disease prediction up to 12 months before onset, shifting care from reactive to preventive.
• Health system leadership (clinical + technical) is critical — this was physician-led (Dr. Ngiam) with engineering support.