Use of AI in Mental Health Care: Community and Mental Health Professionals Survey.

IF 4.8 2区 医学 Q1 PSYCHIATRY Jmir Mental Health Pub Date : 2024-10-11 DOI:10.2196/60589
Shane Cross, Imogen Bell, Jennifer Nicholas, Lee Valentine, Shaminka Mangelsdorf, Simon Baker, Nick Titov, Mario Alvarez-Jimenez
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Abstract

Background: Artificial intelligence (AI) has been increasingly recognized as a potential solution to address mental health service challenges by automating tasks and providing new forms of support.

Objective: This study is the first in a series which aims to estimate the current rates of AI technology use as well as perceived benefits, harms, and risks experienced by community members (CMs) and mental health professionals (MHPs).

Methods: This study involved 2 web-based surveys conducted in Australia. The surveys collected data on demographics, technology comfort, attitudes toward AI, specific AI use cases, and experiences of benefits and harms from AI use. Descriptive statistics were calculated, and thematic analysis of open-ended responses were conducted.

Results: The final sample consisted of 107 CMs and 86 MHPs. General attitudes toward AI varied, with CMs reporting neutral and MHPs reporting more positive attitudes. Regarding AI usage, 28% (30/108) of CMs used AI, primarily for quick support (18/30, 60%) and as a personal therapist (14/30, 47%). Among MHPs, 43% (37/86) used AI; mostly for research (24/37, 65%) and report writing (20/37, 54%). While the majority found AI to be generally beneficial (23/30, 77% of CMs and 34/37, 92% of MHPs), specific harms and concerns were experienced by 47% (14/30) of CMs and 51% (19/37) of MHPs. There was an equal mix of positive and negative sentiment toward the future of AI in mental health care in open feedback.

Conclusions: Commercial AI tools are increasingly being used by CMs and MHPs. Respondents believe AI will offer future advantages for mental health care in terms of accessibility, cost reduction, personalization, and work efficiency. However, they were equally concerned about reducing human connection, ethics, privacy and regulation, medical errors, potential for misuse, and data security. Despite the immense potential, integration into mental health systems must be approached with caution, addressing legal and ethical concerns while developing safeguards to mitigate potential harms. Future surveys are planned to track use and acceptability of AI and associated issues over time.

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人工智能在心理健康护理中的应用:社区和心理健康专业人员调查。
背景:人工智能(AI人工智能(AI)通过自动化任务和提供新形式的支持,已被越来越多的人视为应对心理健康服务挑战的潜在解决方案:本研究是一系列研究中的第一项,旨在估算当前人工智能技术的使用率,以及社区成员(CMs)和心理健康专业人员(MHPs)所感受到的益处、危害和风险:本研究在澳大利亚进行了两次网络调查。调查收集了有关人口统计学、技术舒适度、对人工智能的态度、具体的人工智能使用案例以及使用人工智能带来的益处和危害的体验等方面的数据。我们计算了描述性统计数字,并对开放式回答进行了主题分析:最终样本包括 107 名 CM 和 86 名 MHP。对人工智能的总体态度各不相同,中医生持中立态度,而高级保健医生则持更积极的态度。关于人工智能的使用情况,28%(30/108)的中医使用人工智能,主要是为了获得快速支持(18/30,60%)和作为个人治疗师(14/30,47%)。在高级保健人员中,43%(37/86)使用人工智能;主要用于研究(24/37,65%)和撰写报告(20/37,54%)。虽然大多数人认为人工智能总体上是有益的(23/30,77%的 CMs 和 34/37,92%的 MHPs),但也有 47%(14/30)的 CMs 和 51%(19/37)的 MHPs 遇到了具体的危害和问题。在公开反馈中,对于人工智能在精神卫生保健领域的未来,正面和负面情绪并存:结论:商业人工智能工具正越来越多地被精神科医生和精神卫生保健中心使用。受访者认为,人工智能未来将在可及性、降低成本、个性化和工作效率等方面为精神卫生保健带来优势。然而,他们同样担心减少人与人之间的联系、道德、隐私和监管、医疗失误、滥用的可能性以及数据安全等问题。尽管潜力巨大,但在将其整合到心理健康系统时必须谨慎从事,解决法律和伦理方面的问题,同时制定保障措施以减轻潜在的危害。未来的调查计划将跟踪人工智能的使用情况、可接受性以及随着时间推移出现的相关问题。
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来源期刊
Jmir Mental Health
Jmir Mental Health Medicine-Psychiatry and Mental Health
CiteScore
10.80
自引率
3.80%
发文量
104
审稿时长
16 weeks
期刊介绍: JMIR Mental Health (JMH, ISSN 2368-7959) is a PubMed-indexed, peer-reviewed sister journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR Mental Health focusses on digital health and Internet interventions, technologies and electronic innovations (software and hardware) for mental health, addictions, online counselling and behaviour change. This includes formative evaluation and system descriptions, theoretical papers, review papers, viewpoint/vision papers, and rigorous evaluations.
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