青少年心理健康服务中人工智能使用的认知:质性研究。

Q2 Medicine
Xiaoxu Ding, Skye Barbic
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引用次数: 0

摘要

背景:人工智能(AI)技术在医疗保健领域取得了重大进展。使用人工智能促进健康(AIH)的一个关键应用是使用人工智能聊天机器人;然而,关于其有效性和可行性的经验证据仍然有限。目的:本研究探讨了将AIH纳入青少年心理健康服务的利益群体的看法,重点关注其潜在的好处、挑战、有用性和监管意义。方法:本定性研究采用半结构化的深度访谈与23移动健康利益相关者,包括青年用户,服务提供者和非临床工作人员从一个综合青年服务网络。我们使用归纳方法和主题分析来识别和总结共同主题和次主题。结果:与会者确定了AIH在支持卫生保健的教育、导航和管理任务,以及创造安全空间和减轻卫生资源负担方面的潜力。然而,他们对缺乏人类元素表示担忧,比如同理心和临床判断。主要挑战包括隐私问题、快速技术进步带来的未知风险,以及对敏感的精神卫生案件的危机管理不足。与会者将AIH模仿人类行为的能力视为一项关键的质量标准,并强调需要一个结合客观指标和主观见解的健全评估框架。结论:虽然AIH有可能改善卫生保健的可及性和体验,但它不能解决所有的精神卫生挑战,并可能加剧现有的问题。虽然AIH可以补充较不复杂的服务,但目前还不能取代人际交往的治疗价值。与最终用户共同设计对于成功的AI集成至关重要。健全的评估框架和建立学习型卫生系统的迭代方法对于完善AIH并确保其符合现实世界不断变化的需求至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perception of AI Use in Youth Mental Health Services: Qualitative Study.

Background: Artificial intelligence (AI) technology has made significant advancements in health care. A key application of using artificial intelligence for health (AIH) is the use of AI-powered chatbots; however, empirical evidence on their effectiveness and feasibility remains limited.

Objective: This study explored interest group perceptions of integrating AIH in youth mental health services, focusing on its potential benefits, challenges, usefulness, and regulatory implications.

Methods: This qualitative study used semistructured in-depth interviews with 23 mobile health stakeholders, including youth users, service providers, and nonclinical staff from an integrated youths' service network. We used an inductive approach and thematic analysis to identify and summarize common themes and subthemes.

Results: Participants identified AIH's potential to support education, navigation, and administrative tasks in health care, as well as to create safe spaces and mitigate health resource burdens. However, they expressed concerns about the lack of human elements, such as empathy and clinical judgment. Key challenges included privacy issues, unknown risks from rapid technological advancements, and insufficient crisis management for sensitive mental health cases. Participants viewed AIH's ability to mimic human behavior as a critical quality standard and emphasized the need for a robust evaluation framework combining objective metrics with subjective insights.

Conclusions: While AIH has the potential to improve health care access and experience, it cannot address all mental health challenges and may exacerbate existing issues. While AIH could complement less-complex services, it could not replace the therapeutic value of human interaction at this time. Co-design with end users is critical for successful AI integration. Robust evaluation frameworks and an iterative approach to build a learning health system are essential to refine AIH and ensure it aligns with real-world evolving needs.

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来源期刊
Journal of Participatory Medicine
Journal of Participatory Medicine Medicine-Medicine (miscellaneous)
CiteScore
3.20
自引率
0.00%
发文量
8
审稿时长
12 weeks
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