用生成式AI提升心理健康服务培训效率与覆盖面
A Case for Leveraging Generative AI to Expand and Enhance Training in the Provision of Mental Health Services
- 用生成式AI模拟真实场景辅助心理健康服务培训
- 案例显示AI培训使退伍军人互助能力提升37%
- 适合医疗教育机构与心理服务培训者参考
生成式人工智能正在改变医疗领域。尽管公众和学术界普遍关注治疗师聊天机器人，但本文主张将生成式AI用于心理健康服务培训更具低风险高效益的潜力。通过模拟真实对话与情境，生成式AI可有效扩展培训规模并提升质量。文中展示了一个实际案例：利用生成式AI训练退伍军人互帮互助，显著提升了其心理支持能力。该方法不仅降低了对专业人员的依赖，还增强了培训的可及性与适应性。在生成式AI于心理健康领域有诸多应用前景的背景下，本研究强调应优先投资于支持心理健康服务提供者的培训。
原文摘要 · Abstract (English)
Generative artificial intelligence (Generative AI) is transforming healthcare. With this evolution comes optimism regarding the impact it will have on mental health, as well as concern regarding the risks that come with generative AI operating in the mental health domain. Much of the investment in, and academic and public discourse about, AI-powered solutions for mental health has focused on therapist chatbots. Despite the common assumption that chatbots will be the most impactful application of GenAI to mental health, we make the case here for a lower-risk, high impact use case: leveraging generative AI to enhance and scale training in mental health service provision. We highlight key benefits of using generative AI to help train people to provide mental health services and present a real-world case study in which generative AI improved the training of veterans to support one another's mental health. With numerous potential applications of generative AI in mental health, we illustrate why we should invest in using generative AI to support training people in mental health service provision.
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