AI DRIVEN MENTAL HEALTH SUPPORT TOOLS
Discussion Points ▪ Current AI adoption varies widely across organisations, from daily use to minimal engagement ▪ Mental health practitioners show more resistance to AI tools compared to other healthcare sectors ▪ Privacy and data security concerns are heightened for mental health information ▪ Participants discussed the need for clear governance frameworks and ethical guidelines ▪ The Minister of Mental Health is actively seeking digital solutions to address service gaps ▪ Existing AI applications include ambient scribes, chatbots, and administrative tools ▪ Cultural considerations and equity issues must be addressed in AI development Explore 90-day trial approaches to test AI tools in controlled environments ▪ Develop clearer guidelines for informed consent when using AI in clinical settings ▪ Investigate successful international models that could be adapted for New Zealand ▪ Consider establishing AI committees within healthcare organisations ▪ Improve interoperability between different health information systems ▪ Identify low-risk use cases to build confidence and demonstrate value Key Actions ▪ Additional Notes ▪ Many young people already use AI tools like ChatGPT for mental health support ▪ Digital tools could help bridge gaps while people wait for in-person services ▪ AI could assist with early intervention and identifying patterns that humans might miss ▪ Wearable technology integration with AI shows promise for monitoring mental wellbeing ▪ Voice analysis technology could help detect depression and other conditions ▪ The tension between efficiency and therapeutic relationships needs careful consideration ▪ Māori data sovereignty principles must be incorporated into AI governance
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