Health New Zealand | Te Whatu Ora has announced the outcomes of its first Clinical AI Academy, an initiative designed to help frontline healthcare professionals explore how artificial intelligence could improve patient care and health services. The programme brings clinicians together with digital technology and data specialists to identify practical healthcare challenges and investigate potential AI solutions.
Delivered through Health New Zealand’s HealthX innovation programme, the academy gives participants access to a controlled digital testing environment, known as a sandbox. This allows healthcare professionals to experiment with AI concepts while maintaining appropriate security, privacy and clinical safeguards.
Key facts
- HealthX held its first Clinical AI Academy, bringing clinicians together with digital and data specialists.
- Participants explored practical healthcare challenges that could potentially benefit from AI.
- A secure sandbox environment allowed teams to investigate AI applications with safeguards in place.
- Participants reported increased confidence in understanding and using approved AI tools.
- Proposed clinical AI applications must undergo established review and approval processes.
- Health New Zealand’s National AI & Algorithm Expert Advisory Group assesses clinical safety, ethical considerations, privacy, security and legal requirements.
Our take
This initiative demonstrates an encouraging approach to AI adoption in New Zealand’s public health system. Rather than introducing technology without a clearly defined purpose, Health New Zealand is encouraging clinicians to identify genuine operational challenges and explore whether AI can provide a useful solution.
The combination of frontline involvement, controlled experimentation and formal governance offers a model that other New Zealand organisations could follow. Healthcare presents particularly demanding requirements for accuracy, privacy and accountability, making structured testing essential. The initiative also highlights the importance of involving the people who understand the problems being addressed, rather than leaving AI development entirely to technology teams.
