AI AT WORK – SUPERCHARGING PRODUCTIVITY
Discussion Points ▪ New Zealand ranks low globally in AI enthusiasm and confidence, particularly in healthcare and public sectors ▪ Participants discussed using basic off-the-shelf AI tools to improve productivity in healthcare settings ▪ Several use cases were explored including clinical documentation, patient communication, language translation, data analysis, and administrative tasks ▪ Participants mapped various AI applications on an impact vs feasibility matrix ▪ Most participants reported using AI tools daily in their work Explore using AI for summarising patient notes to improve clinical efficiency ▪ Consider implementing AI tools for translating languages to better serve diverse patient populations ▪ Investigate AI applications for improving rostering and resource allocation ▪ Look into AI-powered tools for clinical documentation to reduce administrative burden ▪ Develop strategies to address the digital divide between healthcare organisations Key Actions ▪ Additional Notes ▪ Major blockers identified: Health NZ policy restrictions, funding limitations, paper-based systems, and risk aversion ▪ Key enablers identified: leadership support, knowledge sharing, cross-sector collaboration, and allowing time for staff to experiment with tools ▪ Participants noted the inequity in digital maturity across the health system ▪ Private sector organisations appear to have more flexibility to implement AI solutions ▪ Concerns raised about data privacy, clinical risk, and the need for appropriate guardrails
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