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Implementation of Chatbot Technology in Health Care: Protocol for a Bibliometric Analysis
Zhao Ni1,2, Mary L Peng3, Vimala Balakrishnan4
1School of Nursing, Yale University, Orange, CT, United States.
JMIR Research Protocols
|January 16, 2024
Summary
This bibliometric analysis examines research on health chatbots, revealing their potential to improve healthcare access. Further development is needed for sophisticated chatbots to provide personalized care and accurate health information.
Area of Science:
- Health Informatics
- Artificial Intelligence
- Bibliometric Analysis
Background:
- Chatbots offer potential to enhance healthcare access.
- Limited analysis exists on chatbot adoption in health settings.
- Understanding research trends is crucial for effective implementation.
Purpose of the Study:
- To conduct a bibliometric analysis of research on chatbot technology in healthcare.
- To identify current trends and knowledge gaps in health-related chatbot research.
- To provide insights into the development and application of chatbots for health promotion.
Main Methods:
- Bibliometric analysis of publications from CINAHL, IEEE Xplore, PubMed, Scopus, and Web of Science.
- Keywords include "chatbot," "virtual agent," "healthcare," and "health."
- Independent review by AI engineers and clinicians, with VOSViewer for network visualization.
Main Results:
- Preliminary searches identified 2340 papers.
- The analysis will cover publication patterns, geographic distribution, funding, methodologies, features, and applications.
- The study aims to complete data analysis by February 15, 2024.
Conclusions:
- AI chatbots show promise for advancing global healthcare systems.
- Challenges remain in developing sophisticated chatbots for precise interaction and personalized care.
- This analysis addresses the knowledge gap concerning health chatbot applications, development, and user-preferred functionalities.
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