NHG Health's Centre for Healthcare Innovation (CHI) has launched the CHI Workforce Accelerator, a structured platform to help healthcare organisations move workforce transformation from planning into implementation. Announced as part of CHI INNOVATE 2026, the accelerator is Singapore's first platform to support healthcare workforce transformation through job redesign, rapid prototyping and cross-sector collaboration. It aims to help teams redesign roles and test new care models within a three-to-six-month timeframe.
The accelerator comes as healthcare systems face rising pressure from ageing populations, changing care needs and rapid technological development. Its four-stage approach covers reimagining future roles, redesigning roles, rapid prototyping of roles, and rolling out roles. A sandbox learning loop supports continuous testing, learning and refinement, while encouraging teams to explore how technology and AI can support job redesign, augment professional practice and create new opportunities for care delivery.
Building workforce capabilities
CHI is also strengthening workforce capabilities through its academies and professional platforms. The Centre for Allied Health and Pharmacy Excellence and the Centre for Asian Nursing Studies will equip healthcare professionals with skills to redesign roles, workflows and teams. Community initiatives will build capabilities among volunteers and caregivers to support more distributed models of care. These efforts are reinforced through collaboration with professional advocacy groups, enabling real-world testing of emerging care models and skills, with the aim of helping healthcare professionals take greater ownership of their development.
Developing an AI-ready workforce
A key component of the workforce transformation agenda is building an AI-ready healthcare workforce. CHI will advance the use of agentic AI as a digital co-worker, exploring how AI agents can help teams redesign routine work, coordinate tasks and test new care models. NHG Health is developing a consultation paper on the role of agentic AI in the future workforce, inviting healthcare, technology and other partners to collaborate on how AI can augment teams, reshape workflows and support sustainable transformation. This initiative is part of a broader push in AI for Healthcare.
Innovation ecosystem and partnerships
To put these ideas into practice, CHI is building an innovation ecosystem that gives healthcare staff pathways to test, build and scale digital and AI-enabled solutions. Its Digital Innovation Studio partnership with Amazon Web Services supports capability-building, technical advisory, architecture guidance and coordinated prototyping across NHG Health. CHI will also expand the ecosystem through a partnership with Microsoft to establish an AI Landing Zone in July 2026. This safe testing environment will allow staff to prototype and test agentic AI solutions using Microsoft AI tools before wider adoption, with Microsoft providing training and technical guidance.
Clinical AI leadership
As AI moves from pilots into clinical workflows, CHI will introduce the CHI Clinical AI Fellowship, hosted by NHG Health in partnership with Guy's and St Thomas' NHS Foundation Trust and the Health Sciences Authority. The Fellowship will develop clinical leaders who can combine clinical judgement with AI fundamentals, regulation, evaluation, workflow integration and digital transformation, supporting the safe and effective implementation of AI in real healthcare settings.
"Transforming our workforce is necessary to meet the demands of healthcare tomorrow," said Professor Joe Sim, Group Chief Executive Officer of NHG Health. "It is about ensuring our healthcare professionals are well-equipped with the skillsets and toolsets, and taking agency to reimagine the future of health, and redesign their work."
Why this matters for HR professionals
For HR leaders, the CHI Workforce Accelerator offers a practical framework for workforce transformation that extends beyond healthcare. The emphasis on job redesign, rapid prototyping and integrating AI into daily workflows mirrors the challenges HR teams face across industries. The model's structured approach to testing and refining roles within a short timeframe can inform how organisations build AI for Human Resources strategies. The focus on building an AI-ready workforce, from agentic AI to clinical fellowships, demonstrates a systematic approach to upskilling that HR teams can adapt to their own sectors.
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