For every team that has made artificial intelligence work, there are others still wrestling with the same pilot they launched two years ago.
That question was put to more than 60 health leaders, doctors, researchers and technology experts who gathered in Singapore in 2025 for an advisory think-tank.
It was convened by the Health Empowered by AI Launchpad at the Centre for Healthcare Innovation and hosted by NHG Health.
Their answer, published in February in a report, AI For Health: Converting Momentum Into Muscle, is blunt: The biggest barriers to the adoption of AI in healthcare are not technical. They are human.
Walk into almost any hospital in Singapore today and you will find AI at work somewhere – a risk-scoring tool here, chatbot there, a scheduling system running quietly in the background.
What you will find less often is evidence that these tools have changed how care works for patients.
The most effective deployments have been anchored in specific, practical frustrations – the documentation that keeps clinicians at their keyboards long after patients have left, the chest X-ray that needs a second pair of eyes, the patient who cannot find a simple answer without calling a busy helpline.
【MORE】