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Review
. 2024 Jul 23:26:e56930.
doi: 10.2196/56930.

Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review

Moustafa Laymouna  1   2   3 , Yuanchao Ma  2   3   4   5 , David Lessard  2   3   4 , Tibor Schuster  1 , Kim Engler  2   3   4 , Bertrand Lebouché  1   2   3   4
Affiliations
Review

Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review

Moustafa Laymouna et al. J Med Internet Res. .

Abstract

Background: Chatbots, or conversational agents, have emerged as significant tools in health care, driven by advancements in artificial intelligence and digital technology. These programs are designed to simulate human conversations, addressing various health care needs. However, no comprehensive synthesis of health care chatbots' roles, users, benefits, and limitations is available to inform future research and application in the field.

Objective: This review aims to describe health care chatbots' characteristics, focusing on their diverse roles in the health care pathway, user groups, benefits, and limitations.

Methods: A rapid review of published literature from 2017 to 2023 was performed with a search strategy developed in collaboration with a health sciences librarian and implemented in the MEDLINE and Embase databases. Primary research studies reporting on chatbot roles or benefits in health care were included. Two reviewers dual-screened the search results. Extracted data on chatbot roles, users, benefits, and limitations were subjected to content analysis.

Results: The review categorized chatbot roles into 2 themes: delivery of remote health services, including patient support, care management, education, skills building, and health behavior promotion, and provision of administrative assistance to health care providers. User groups spanned across patients with chronic conditions as well as patients with cancer; individuals focused on lifestyle improvements; and various demographic groups such as women, families, and older adults. Professionals and students in health care also emerged as significant users, alongside groups seeking mental health support, behavioral change, and educational enhancement. The benefits of health care chatbots were also classified into 2 themes: improvement of health care quality and efficiency and cost-effectiveness in health care delivery. The identified limitations encompassed ethical challenges, medicolegal and safety concerns, technical difficulties, user experience issues, and societal and economic impacts.

Conclusions: Health care chatbots offer a wide spectrum of applications, potentially impacting various aspects of health care. While they are promising tools for improving health care efficiency and quality, their integration into the health care system must be approached with consideration of their limitations to ensure optimal, safe, and equitable use.

Keywords: AI; artificial intelligence; chatbot; conversational agent; conversational assistant; digital health; electronic health; health information technology; mobile health; telehealth; user-computer interface.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flowchart showing the number of studies identified, screened, assessed for eligibility, and included in the final analysis.
Figure 2
Figure 2
Map showing the countries that contributed the studies.
See this image and copyright information in PMC

References

    1. Kocaballi AB, Berkovsky S, Quiroz JC, Laranjo L, Tong HL, Rezazadegan D, Briatore A, Coiera E. The personalization of conversational agents in health care: systematic review. J Med Internet Res. 2019 Nov 07;21(11):e15360. doi: 10.2196/15360. https://www.jmir.org/2019/11/e15360/ v21i11e15360 - DOI - PMC - PubMed
    1. Luo TC, Aguilera A, Lyles CR, Figueroa CA. Promoting physical activity through conversational agents: mixed methods systematic review. J Med Internet Res. 2021 Sep 14;23(9):e25486. doi: 10.2196/25486. https://www.jmir.org/2021/9/e25486/ v23i9e25486 - DOI - PMC - PubMed
    1. Laranjo L, Dunn AG, Tong HL, Kocaballi AB, Chen J, Bashir R, Surian D, Gallego B, Magrabi F, Lau AY, Coiera E. Conversational agents in healthcare: a systematic review. J Am Med Inform Assoc. 2018 Sep 01;25(9):1248–58. doi: 10.1093/jamia/ocy072. https://europepmc.org/abstract/MED/30010941 5052181 - DOI - PMC - PubMed
    1. Vaidyam AN, Wisniewski H, Halamka JD, Kashavan MS, Torous JB. Chatbots and conversational agents in mental health: a review of the psychiatric landscape. Can J Psychiatry. 2019 Jul 21;64(7):456–64. doi: 10.1177/0706743719828977. https://europepmc.org/abstract/MED/30897957 - DOI - PMC - PubMed
    1. Milne-Ives M, de Cock C, Lim E, Shehadeh MH, de Pennington N, Mole G, Normando E, Meinert E. The effectiveness of artificial intelligence conversational agents in health care: systematic review. J Med Internet Res. 2020 Oct 22;22(10):e20346. doi: 10.2196/20346. https://www.jmir.org/2020/10/e20346/ v22i10e20346 - DOI - PMC - PubMed

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