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Accepted for/Published in: JMIR Human Factors

Date Submitted: Oct 17, 2024
Date Accepted: Feb 14, 2025

The final, peer-reviewed published version of this preprint can be found here:

AI Chatbots for Psychological Health for Health Professionals: Scoping Review

Han JH, Baek G, Cha C

AI Chatbots for Psychological Health for Health Professionals: Scoping Review

JMIR Hum Factors 2025;12:e67682

DOI: 10.2196/67682

PMID: 40106346

PMCID: 11939020

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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

  • Jin-Hui Han; 
  • Gumhee Baek; 
  • Chiyoung Cha

ABSTRACT

Background:

Health professionals face significant psychological burdens including burnout, anxiety, and depression, which 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 emerging as promising solutions to these challenges by providing accessible 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 articles published from 2018 to 2024, including backward and forward citation tracking and manual searching from the included articles. Articles were screened for relevance based on inclusion and exclusion criteria, among 2,465 articles retrieved, 10 met the criteria for review.

Results:

Among the 10 articles, three employed a development study design. Six chatbots were delivered via mobile platforms, and four via web-based platforms, all enabling one-on-one interactions. Natural language processing (NLP) algorithms were commonly used and cognitive behavioral therapy (CBT) techniques were applied to psychological health in four articles. Usability was evaluated in six articles, with generally high satisfaction rates; however, dropout rates remained high, particularly in emotionally intense situations. Improvements in anxiety, depression, and burnout were observed in four studies, although one reported an increase in depressive symptoms.

Conclusions:

AI chatbots show promise as 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 long-term effectiveness of these interventions. Future studies should focus on refining chatbot designs and assessing their impact on diverse health professionals.


 Citation

Please cite as:

Han JH, Baek G, Cha C

AI Chatbots for Psychological Health for Health Professionals: Scoping Review

JMIR Hum Factors 2025;12:e67682

DOI: 10.2196/67682

PMID: 40106346

PMCID: 11939020

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