If you want proof that AI has moved from pilot to daily practice in Singapore, look inside its public hospitals. Doctors’ consultation notes now write themselves, referral letters are drafted by a homegrown language model, and chest X-rays are triaged by algorithms — backed by a S$150 million national push into generative AI for public healthcare. Here’s what’s actually running, and what any Singapore business can learn from it.
Note Buddy: the AI scribe in SingHealth clinics
SingHealth’s Note Buddy listens during consultations and turns the conversation into structured clinical notes in real time — in English, Mandarin, Malay, and Tamil. It can tell speakers apart (doctor, patient, caregiver) and formats notes to each specialty’s template. Built on Tandem, a secure GPT platform developed by national healthtech agency Synapxe, it had already supported over 2,100 healthcare workers across more than 16,000 clinical and administrative notes within its early rollout, with generative documentation tools extended across all public healthcare institutions.
The lesson generalises far beyond medicine: the first, safest, highest-ROI AI use case is usually documentation and admin — the same principle behind our guide to choosing your first AI project.
RUSSELL-GPT: NUHS builds its own LLM assistant
The National University Health System developed RUSSELL-GPT, an LLM-based assistant that summarises patient case notes and drafts referral letters — clawing back hours of clinician time per week. NUHS also runs Endeavour AI, which tracks bed availability in real time so patients aren’t stuck waiting for allocation, and Bot-NUHS, which palliative-care nurses use to translate complex care discussions into plain language across Singapore’s languages.
AI that reads X-rays before a radiologist does
Through AimSG, the national radiology AI platform, chest X-ray AI prioritises urgent cases at Geylang Polyclinic, with deployments for tuberculosis screening at the National Centre for Infectious Diseases and bone-fracture detection at Woodlands Health — and a national rollout targeted by end-2026. Patients feel this as faster answers; hospitals feel it as radiologists focused where human judgement matters most.
AI for patients, not just clinicians
Synapxe’s HealthHub AI answers health and admin questions in English, Chinese, Malay, and Tamil, tailored to the user’s age and conditions, while Lab Report Buddy translates blood-test jargon into plain language and flags whether a follow-up is needed. Notice the pattern: the same conversational AI a hospital uses to serve patients at scale is the technology behind retail customer-service chatbots — same engine, different counter.
What smaller businesses can take from this
Healthcare is the most regulated, highest-stakes industry in Singapore — and it still found safe wins by starting with admin, documentation, triage, and multilingual customer communication. If it works under clinical governance, the equivalent works in a shop: notes and rostering, repetitive questions, prioritising what needs a human first. Start where the stakes are low and the drudgery is high — our SME services page shows how that maps to a small business, and the plain-English glossary decodes the terms (LLM, triage AI, speech-to-text) you’ve just read.
Next in the series: inside Hyundai’s AI-run smart factory in Jurong.
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