The policy track focuses on AI in health and healthcare in Singapore, and on what Sweden and Singapore can learn from each other as advanced knowledge economies with strong public institutions, digital infrastructures, and health innovation environments.
The track brings together policy-oriented actors, public agencies, healthcare organisations, researchers, and innovation partners to discuss how AI can be governed, tested, implemented, and scaled in healthcare settings. Particular attention is given to the policy conditions needed for safe, effective, and trusted AI adoption in health systems.
Policy track focus
Rather than viewing AI in healthcare solely as a technical or clinical matter, the policy track examines the institutional, regulatory, ethical, and organisational conditions that shape adoption. The programme connects health policy, AI governance, public innovation, and implementation practice through a Sweden-Singapore dialogue.
AI in health systems
How AI can support healthcare delivery, diagnostics, prevention, resource allocation, patient pathways, and health system capacity.
Governance, regulation & trust
How public institutions can enable safe and responsible AI adoption in healthcare, including questions of validation, accountability, data governance, clinical safety, and public trust.
Implementation & scale
How AI solutions move from pilots and proofs of concept into operational healthcare environments, and what policy, procurement, data, and organisational capabilities are required for scale.
Why this conversation matters
Sweden and Singapore both face rising healthcare needs, ageing populations, pressure on public services, and strong expectations that digital innovation can improve quality, access, and efficiency. At the same time, the two countries approach healthcare, AI policy, data governance, and public-sector implementation through different institutional models. This makes the policy track a valuable setting for practical comparison and mutual learning.
| Shared policy questions | Swedish perspectives | Singapore perspectives |
|---|---|---|
| Healthcare transformation | Strong public healthcare traditions, regional responsibility, clinical quality systems, and welfare-state perspectives on access and equity. | Strong national coordination, integrated health planning, and a clear focus on implementation, system capacity, and scalable public-sector innovation. |
| AI governance and trust | Often shaped by decentralised governance, strong legal safeguards, professional autonomy, and public trust considerations. | Often shaped by national strategy, coordinated regulatory development, public innovation capacity, and implementation-oriented governance. |
| From pilots to adoption | Questions of procurement, regional coordination, clinical validation, data access, and alignment with EU regulation. | Questions of national readiness, agency coordination, operational deployment, health data infrastructure, and rapid scaling. |
Indicative programme logic
The exact programme will be adapted to the participants and organisations represented in the room. Participants are encouraged to actively contribute perspectives, ongoing work, and emerging questions related to AI in health and healthcare, including policy, regulation, implementation, clinical adoption, and public-sector transformation. A more detailed programme, including speakers and session titles, will be published closer to the event.
Policy dialogues
Structured discussions between Swedish and Singaporean actors on healthcare AI policy, regulation, governance, and institutional readiness.
Implementation cases
Examples and lessons from AI pilots, health innovation initiatives, clinical use cases, and public-sector implementation environments.
Future cooperation
Exploration of future collaboration between public agencies, healthcare organisations, researchers, innovation environments, and policy actors.
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