AI Chatbots for Psychological Health for Health Professionals: Scoping Review.

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES
JMIR Human Factors Pub Date : 2025-03-19 DOI:10.2196/67682
Gumhee Baek, Chiyoung Cha, Jin-Hui Han
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引用次数: 0

Abstract

Background: Health professionals face significant psychological burdens including burnout, anxiety, and depression. These can negatively impact their well-being and patient care. Traditional psychological health interventions often encounter limitations such as a lack of accessibility and privacy. Artificial intelligence (AI) chatbots are being explored as potential solutions to these challenges, offering available and immediate support. Therefore, it is necessary to systematically evaluate the characteristics and effectiveness of AI chatbots designed specifically for health professionals.

Objective: This scoping review aims to evaluate the existing literature on the use of AI chatbots for psychological health support among health professionals.

Methods: Following Arksey and O'Malley's framework, a comprehensive literature search was conducted across eight databases, covering studies published before 2024, including backward and forward citation tracking and manual searching from the included studies. Studies were screened for relevance based on inclusion and exclusion criteria, among 2465 studies retrieved, 10 studies met the criteria for review.

Results: Among the 10 studies, six chatbots were delivered via mobile platforms, and four via web-based platforms, all enabling one-on-one interactions. Natural language processing algorithms were used in six studies and cognitive behavioral therapy techniques were applied to psychological health in four studies. Usability was evaluated in six studies through participant feedback and engagement metrics. Improvements in anxiety, depression, and burnout were observed in four studies, although one reported an increase in depressive symptoms.

Conclusions: AI chatbots show potential tools to support the psychological health of health professionals by offering personalized and accessible interventions. Nonetheless, further research is required to establish standardized protocols and validate the effectiveness of these interventions. Future studies should focus on refining chatbot designs and assessing their impact on diverse health professionals.

面向卫生专业人员的心理健康AI聊天机器人:范围审查。
背景:卫生专业人员面临着严重的心理负担,包括倦怠、焦虑和抑郁。这些会对他们的健康和病人护理产生负面影响。传统的心理健康干预措施往往遇到诸如缺乏可及性和隐私等限制。人们正在探索人工智能(AI)聊天机器人作为应对这些挑战的潜在解决方案,提供可用和即时的支持。因此,有必要系统评估专门为卫生专业人员设计的AI聊天机器人的特点和有效性。目的:本综述旨在评估现有的关于使用人工智能聊天机器人进行卫生专业人员心理健康支持的文献。方法:按照Arksey和O'Malley的框架,对8个数据库进行全面的文献检索,涵盖2024年之前发表的研究,包括向后和向前引文跟踪,并对纳入的研究进行人工检索。根据纳入和排除标准筛选研究的相关性,在检索到的2465项研究中,有10项研究符合纳入标准。结果:在10项研究中,6个聊天机器人通过移动平台交付,4个通过网络平台交付,都实现了一对一的互动。6项研究使用了自然语言处理算法,4项研究将认知行为治疗技术应用于心理健康。可用性通过参与者反馈和参与指标在六项研究中进行评估。在四项研究中观察到焦虑、抑郁和倦怠的改善,尽管一项研究报告抑郁症状有所增加。结论:人工智能聊天机器人通过提供个性化和可获得的干预措施,显示了支持卫生专业人员心理健康的潜在工具。尽管如此,需要进一步的研究来建立标准化的方案并验证这些干预措施的有效性。未来的研究应侧重于改进聊天机器人的设计,并评估它们对各种卫生专业人员的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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