Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Mar 29;22(7):2625.
doi: 10.3390/s22072625.

A Systematic Review on Healthcare Artificial Intelligent Conversational Agents for Chronic Conditions

Affiliations

A Systematic Review on Healthcare Artificial Intelligent Conversational Agents for Chronic Conditions

Abdullah Bin Sawad et al. Sensors (Basel). .

Abstract

This paper reviews different types of conversational agents used in health care for chronic conditions, examining their underlying communication technology, evaluation measures, and AI methods. A systematic search was performed in February 2021 on PubMed Medline, EMBASE, PsycINFO, CINAHL, Web of Science, and ACM Digital Library. Studies were included if they focused on consumers, caregivers, or healthcare professionals in the prevention, treatment, or rehabilitation of chronic diseases, involved conversational agents, and tested the system with human users. The search retrieved 1087 articles. Twenty-six studies met the inclusion criteria. Out of 26 conversational agents (CAs), 16 were chatbots, seven were embodied conversational agents (ECA), one was a conversational agent in a robot, and another was a relational agent. One agent was not specified. Based on this review, the overall acceptance of CAs by users for the self-management of their chronic conditions is promising. Users' feedback shows helpfulness, satisfaction, and ease of use in more than half of included studies. Although many users in the studies appear to feel more comfortable with CAs, there is still a lack of reliable and comparable evidence to determine the efficacy of AI-enabled CAs for chronic health conditions due to the insufficient reporting of technical implementation details.

Keywords: chatbot; conversational agents; dialogue systems; relational agents.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Flow Diagram.

References

    1. Schachner T., Keller R., Wangenheim F.V. Artificial Intelligence-Based Conversational Agents for Chronic Conditions: Systematic Literature Review. J. Med. Internet Res. 2020;22:e20701. doi: 10.2196/20701. - DOI - PMC - PubMed
    1. Kramer L.L., Ter Stal S., Mulder B., De Vet E., Van Velsen L. Developing Embodied Conversational Agents for Coaching People in a Healthy Lifestyle: Scoping Review. J. Med. Internet Res. 2020;22:e14058. doi: 10.2196/14058. - DOI - PMC - PubMed
    1. Ferrand J., Hockensmith R., Houghton R.F., Walsh-Buhi E.R. Evaluating Smart Assistant Responses for Accuracy and Misinformation Regarding Human Papillomavirus Vaccination: Content Analysis Study. J. Med. Internet Res. 2020;22:e19018. doi: 10.2196/19018. - DOI - PMC - PubMed
    1. Sezgin E., Militello L.K., Huang Y., Lin S. A scoping review of patient-facing, behavioral health interventions with voice assistant technology targeting self-management and healthy lifestyle behaviors. Transl. Behav. Med. 2020;10:606–628. doi: 10.1093/tbm/ibz141. - DOI - PubMed
    1. Safi Z., Abd-Alrazaq A., Khalifa M., Househ M. Technical Aspects of Developing Chatbots for Medical Applications: Scoping Review. J. Med. Internet Res. 2020;22:e19127. doi: 10.2196/19127. - DOI - PMC - PubMed

Publication types

LinkOut - more resources