AI Chatbots for Psychological Health for Health Professionals: Scoping Review

Abstract BackgroundHealth 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 o...

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Main Authors: Gumhee Baek, Chiyoung Cha, Jin-Hui Han
Format: Article
Language:English
Published: JMIR Publications 2025-03-01
Series:JMIR Human Factors
Online Access:https://humanfactors.jmir.org/2025/1/e67682
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author Gumhee Baek
Chiyoung Cha
Jin-Hui Han
author_facet Gumhee Baek
Chiyoung Cha
Jin-Hui Han
author_sort Gumhee Baek
collection DOAJ
description Abstract BackgroundHealth 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. ObjectiveThis scoping review aims to evaluate the existing literature on the use of AI chatbots for psychological health support among health professionals. MethodsFollowing 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. ResultsAmong 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. ConclusionsAI 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.
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spelling doaj-art-8a210eb40b1b4ffebaac83eff2b2cc372025-08-20T03:43:41ZengJMIR PublicationsJMIR Human Factors2292-94952025-03-0112e67682e6768210.2196/67682AI Chatbots for Psychological Health for Health Professionals: Scoping ReviewGumhee Baekhttp://orcid.org/0000-0003-1999-0158Chiyoung Chahttp://orcid.org/0000-0003-0115-1348Jin-Hui Hanhttp://orcid.org/0000-0003-1015-1817 Abstract BackgroundHealth 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. ObjectiveThis scoping review aims to evaluate the existing literature on the use of AI chatbots for psychological health support among health professionals. MethodsFollowing 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. ResultsAmong 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. ConclusionsAI 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.https://humanfactors.jmir.org/2025/1/e67682
spellingShingle Gumhee Baek
Chiyoung Cha
Jin-Hui Han
AI Chatbots for Psychological Health for Health Professionals: Scoping Review
JMIR Human Factors
title AI Chatbots for Psychological Health for Health Professionals: Scoping Review
title_full AI Chatbots for Psychological Health for Health Professionals: Scoping Review
title_fullStr AI Chatbots for Psychological Health for Health Professionals: Scoping Review
title_full_unstemmed AI Chatbots for Psychological Health for Health Professionals: Scoping Review
title_short AI Chatbots for Psychological Health for Health Professionals: Scoping Review
title_sort ai chatbots for psychological health for health professionals scoping review
url https://humanfactors.jmir.org/2025/1/e67682
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