Health NZ seeks integrated AI platform to transform radiology services

NEWS - eHealthNews.nz editor Rebecca McBeth 

Health New Zealand | Te Whatu Ora is looking to develop an integrated platform for scalable artificial intelligence (AI) adoption across the country's radiology services.

The national organisation has issued a Request for Information for providers to design and deliver a national Radiology AI Orchestrator and Application Marketplace.

The RFI documents say the aim is to address significant challenges facing radiology services, including workforce shortages, increasing demand with 7 percent annual growth, and regional variability in wait times.

"We now seek a national approach to radiology AI, moving from individual apps toward an integrated orchestration platform," the RFI says.

Health New Zealand is already trialling AI solutions in some areas including stroke detection, bone age assessment, and chest X-ray triage, but adoption remains fragmented and not scalable without orchestration, the RFI says.

The new platform would integrate AI applications into radiology workflows and minimise disruption for clinicians, while improving productivity and delivering equitable access across all regions.

Key functions include rules-based routing of imaging studies to appropriate AI models, intelligent prioritisation and triage of studies, and seamless integration of AI results into PACS, worklists, and diagnostic viewers.

Health NZ is looking for providers with demonstrated experience in AI orchestration platforms that can integrate with PACS/RIS and radiology workflows across multiple regions, along with vendor-neutral app marketplaces .

The AI orchestrator and marketplace would improve patient outcomes by reducing time to actionable reports and prioritising reporting capacity through intelligent triage and prioritisation.

The platform would also support radiologists by automating repetitive tasks and providing second-read and peer review capabilities.

"This initiative aims to move from point AI solutions toward an integrated platform that enables consistent, scalable, and future-proof AI adoption across radiology services nationwide," the documents say.

Responses must be submitted by 28 October 2025.

Listen to this episode of eHealth Talk NZ to learn more about how Health NZ is exploring the use of AI in Radiology, with Sharyn MacDonald, chief of radiology at Health NZ Te Whatu Ora Waitaha Canterbury.

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