Evidence map›Paper›PMID 39685090›Full record

ReviewHealthcare (Basel, Switzerland)2024

Human-Computer Interaction in Healthcare: A Bibliometric Analysis with CiteSpace.

Xiangying Zhao, Shunan Zhang, Dongyan Nan, Jiali Han, Jang Hyun Kim

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiangying ZhaoDepartment of Interaction Science, Sungkyunkwan University, Seoul 03063, Republic of Korea.
Shunan ZhangDepartment of Interaction Science, Sungkyunkwan University, Seoul 03063, Republic of Korea.
Dongyan NanSchool of Business, Macau University of Science and Technology, Macau 999078, China.
Jiali HanDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University Indianapolis, Indianapolis, IN 46202, USA.
Jang Hyun KimDepartment of Interaction Science, Sungkyunkwan University, Seoul 03063, Republic of Korea.ORCID 0000-0001-7750-2664

Funding

National Research Foundation of Korea RS-2023-00208278
6 · The paper itself

Abstract

BACKGROUND/

objectivesStudies on the application and exploration of human-computer interaction (HCI) technologies within the healthcare sector have rapidly expanded, showcasing the immense potential of HCI to enhance medical services, elevate patient experiences, and advance health management. Despite this proliferating interest, there is a notable shortage of comprehensive bibliometric analyses dedicated to the application of HCI in healthcare, which limits a thorough comprehension of the growth trends and future trajectories in this area.

methodsTo bridge this gap, we employed bibliometric methods using the CiteSpace tool to systematically review and analyze the current state and trends of HCI research in healthcare. A meticulous topic search of Web of Science yielded 3598 papers published between 2004 and 2023.

resultsThrough literature analysis, the most productive researchers, institutes, and countries/territories and the collaboration networks among authors and countries within the field were analyzed. Additionally, by conducting a co-citation analysis, journals and literature with high citation rates and influence within the academic community in this field were revealed. Through a cluster analysis based on literature co-citations and keyword burst analyses, we further explored the main research themes and hot topics within the fields of healthcare and HCI.

conclusionsIn summary, through a comprehensive and systematic bibliometric analysis, this study provides a solid knowledge foundation for HCI in the healthcare research community, thereby fostering the development of innovative research and the optimization of practical applications in the field.

Indexed as

bibliometric analysisCiteSpaceHCIhealthcare

Identifiers

PMID39685090
PMCPMC11641389

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.