JAMA Medical News AI-Based Suicide Screening for American Indian Patients
Jan 10, 2025
Emily Haroz, an Associate Professor at Johns Hopkins Bloomberg School of Public Health, specializes in mental health and suicide prevention in Indigenous communities. She discusses alarming suicide rates among American Indian and Alaska Native populations and highlights an AI-based screening tool designed specifically for these communities. Haroz delves into how AI can revolutionize mental health interventions, emphasizing cultural sensitivity and the need for community involvement. She also addresses ethical concerns and the importance of collaboration between AI and traditional practices.
AI Snips
Chapters
Transcript
Episode notes
Complexity of Suicide
- Suicide is driven by a multitude of factors, not a single cause.
- AI's ability to handle complex data makes it promising for suicide risk identification.
Missed Opportunities
- Patients dying by suicide despite recent hospital visits prompted this research.
- These stories highlight the need for better risk identification solutions.
Risk Identification vs. Prediction
- Focus on risk identification, not prediction, to avoid deterministic labels.
- Use AI models to synthesize patient information, aiding clinicians' decision-making.