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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
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Human-Computer Interaction in Healthcare: A Bibliometric Analysis with CiteSpace
Xiangying Zhao1,2, Shunan Zhang1,2, Dongyan Nan3
1Department of Interaction Science, Sungkyunkwan University, Seoul 03063, Republic of Korea.
Healthcare (Basel, Switzerland)
|December 17, 2024
Summary
This bibliometric analysis maps the growth of human-computer interaction (HCI) in healthcare. It identifies key research trends, influential works, and collaboration networks to guide future innovation in health technology.
Area of Science:
- Health Informatics
- Human-Computer Interaction
- Bibliometrics
Background:
- Human-computer interaction (HCI) applications in healthcare are rapidly growing.
- A comprehensive bibliometric analysis of HCI in healthcare is lacking.
- Understanding trends is crucial for advancing medical services and patient experiences.
Purpose of the Study:
- To conduct a bibliometric analysis of HCI research in healthcare.
- To identify growth trends and future trajectories in the field.
- To provide a knowledge foundation for researchers and practitioners.
Main Methods:
- Bibliometric analysis using CiteSpace software.
- Systematic review of 3598 papers from Web of Science (2004-2023).
- Topic search, co-citation analysis, and keyword burst analysis were employed.
Main Results:
- Identified productive researchers, institutions, and countries.
- Revealed collaboration networks among authors and nations.
- Highlighted influential journals and key research themes/hot topics in healthcare HCI.
Conclusions:
- This study offers a systematic overview of HCI in healthcare research.
- It establishes a knowledge base to foster innovative research.
- Aims to optimize practical applications of HCI in the healthcare sector.
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