AI-POWERED OPERATIONAL EFFICIENCY
Discussion Points ▪ The meeting focused on eight core domains for AI implementation in healthcare, with emphasis on operational efficiency ▪ Participants shared experiences from various healthcare organisations including ACC, Stroke Foundation, Tōpūtanga Tapuhi Kaitiaki o Aotearoa (NZ College of Midwives), and Ministry of Health ▪ Key metaphor discussed: healthcare organisations are transitioning from "steamships to spaceships" - requiring fundamental operational changes rather than incremental improvements ▪ Data sovereignty was highlighted as critical, particularly for Māori data and ensuring cultural integrity ▪ Participants noted the importance of starting with clear problem statements rather than technology-first approaches ▪ Clinical transcription tools were discussed as a practical example of AI implementation, with time savings noted but also potential unintended consequences Key Actions ▪ Organisations should develop clear AI implementation frameworks covering problem definition through to scaling ▪ Establish proper data governance and privacy frameworks before implementing AI solutions ▪ Involve clinicians and end-users from the outset of AI implementation projects ▪ Consider piloting small, low-risk AI implementations before scaling to larger applications ▪ Develop strategies to bring both early adopters and technology-hesitant staff on implementation journeys ▪ Evaluate AI tools based on their ability to enhance rather than replace human capabilities Additional Notes ▪ ACC has implemented auto-summarisation tools that save frontline staff significant time ▪ Stroke Foundation is exploring AI to support prevention efforts and improve acute care diagnostics ▪ Ministry of Health is trialling Microsoft Copilot with positive results for breaking down information silos ▪ Concerns raised about New Zealand's health IT infrastructure readiness for AI implementation ▪ Participants discussed the balance between building local solutions versus adopting international platforms ▪ The potential for AI to reduce clinician burnout by handling administrative tasks was highlighted
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