AI – ALLEVIATING ADMINISTRATIVE BURDEN FOR CLINICIANS
Discussion Points ▪ Explored how AI could assist clinicians by identifying symptoms during patient encounters, particularly for mental health conditions ▪ Discussed administrative burden reduction through AI tools like scribes, automated coding, and document generation ▪ Considered data integration challenges across healthcare systems and the need for standardised approaches ▪ Examined privacy concerns and data sovereignty issues with AI tools ▪ Reviewed potential AI applications including discharge summary generation, patient record summarisation, and clinical coding Key Actions ▪ Investigate AI tools that can identify residual symptoms in major depressive disorder ▪ Explore opportunities for AI to assist with referral processes and triage ▪ Consider developing guidelines for safe AI implementation in clinical settings ▪ Evaluate AI scribes like Heidi and Tuhi for wider implementation ▪ Address data integration challenges before implementing advanced AI solutions Additional Notes ▪ Participants noted that clinicians spend up to 50% of their time on administrative tasks ▪ Concerns raised about automation bias and the need for human oversight of AI outputs ▪ Discussion of cultural considerations for AI implementation in Aotearoa, including Te Reo Māori integration ▪ Noted the importance of education and training for effective AI adoption ▪ Highlighted the need for balance between innovation and regulation in healthcare AI
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