Singapore employs various AI tools in healthcare today, including AI-assisted chest X-ray analysis, AI transcription for medical notes, AI-based scheduling systems, and chatbot services for patient queries [1, 2, 3, 4]. More than 60 healthcare experts met in Singapore in 2025 at a think-tank hosted by NHG Health and the Health Empowered by AI Launchpad to assess these adoption challenges and share insights [1, 2, 3, 4].
A February 2025 report titled "AI For Health: Converting Momentum Into Muscle" found that the biggest barriers to AI uptake in healthcare are human factors such as trust, understanding, and integration into clinical workflows, rather than technical limitations [1, 2, 3, 4]. Many AI pilot projects launched two years ago remain limited to initial departments or phases, which has led to fragmented efforts without broad system impact [1, 2, 3].
Examples of successful AI applications in Singapore include voice transcription systems at the Woodlands Health Campus, which cut social workers’ documentation time by over 40% [4]. NHG’s AI scheduling system has improved nurse rostering efficiency, while the HealthBot chatbot has reduced the load on phone centers by handling patient queries [4]. First-line clinical staff such as doctors, nurses, pharmacists, and social workers are the main users of these AI tools. Their uptake depends on designs that fit smoothly with clinical workflows to avoid adding burdens [4].
Minister for Health Ong Ye Kung said, "Singapore’s goal should not be to build the most algorithms, but to become the place where AI in healthcare is implemented well – safely, equitably and at scale" [1]. The challenge of scaling AI in healthcare is shared globally, with countries like Taiwan also facing human, organizational, and institutional hurdles [4].
By 2025, more than 60 healthcare leaders gathered in Singapore to focus on converting AI momentum into practical adoption, reflecting efforts to tackle these barriers directly [1, 2, 3, 4]. The report and think-tank emphasized that overcoming trust and workflow issues is critical to advancing AI beyond early pilots.
The next step involves broader rollout and integration of AI tools that have demonstrated benefits, aimed at expanding impact safely and effectively across Singapore’s hospitals and clinics.
