Tracking the Evolution of Research Topics in Healthcare Informatics Research Using Keywords and MeSH Terms
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Objectives: This study analyzed publications in Healthcare Informatics Research (HIR) to identify trends and shifts in researchfocus within both the journal and the broader Korean medical informatics landscape. By examining keywords acrossthese papers, the study aimed to elucidate evolving priorities and innovations in the field over time. Methods: Data from958 papers published between 1995 and 2024 were extracted from the HIR journal’s online archive. The analysis focused onEnglish-language articles published since 2010 (n = 658) to examine publication trends using descriptive statistics. Keywordand Medical Subject Headings (MeSH) term analyses (term frequency-inverse document frequency, latent Dirichlet allocation,co-occurrence) were performed on a subset of articles with available abstracts (n = 632) to identify research themesand interrelationships. Inferential statistics, including chi-square and regression analysis, were applied to assess changes inresearch trends over time. Results: Among 958 total papers identified (672 in English), analysis of 658 English articles publishedsince 2010 revealed increasing publication trends, peaking between 2015 and 2018. Keyword and MeSH term analysesof 632 papers with abstracts highlighted persistent themes (e.g., health systems, electronic health records) alongside emergingtopics (e.g., machine learning, telemedicine). Inferential analysis indicated no statistically significant changes in keyworddistribution over time. Conclusions: This study offers insights into the evolution of health informatics research in Korea,underscoring the role of HIR in documenting this progression. The findings reveal a balance between emerging technologiesand foundational healthcare themes, demonstrating the field’s adaptability and sustained relevance. Future research shouldextend the analysis to other journals and further consider ethical implications and global developments.
Abstract
Objectives: This study analyzed publications in Healthcare Informatics Research (HIR) to identify trends and shifts in researchfocus within both the journal and the broader Korean medical informatics landscape. By examining keywords acrossthese papers, the study aimed to elucidate evolving priorities and innovations in the field over time. Methods: Data from958 papers published between 1995 and 2024 were extracted from the HIR journal’s online archive. The analysis focused onEnglish-language articles published since 2010 (n = 658) to examine publication trends using descriptive statistics. Keywordand Medical Subject Headings (MeSH) term analyses (term frequency-inverse document frequency, latent Dirichlet allocation,co-occurrence) were performed on a subset of articles with available abstracts (n = 632) to identify research themesand interrelationships. Inferential statistics, including chi-square and regression analysis, were applied to assess changes inresearch trends over time. Results: Among 958 total papers identified (672 in English), analysis of 658 English articles publishedsince 2010 revealed increasing publication trends, peaking between 2015 and 2018. Keyword and MeSH term analysesof 632 papers with abstracts highlighted persistent themes (e.g., health systems, electronic health records) alongside emergingtopics (e.g., machine learning, telemedicine). Inferential analysis indicated no statistically significant changes in keyworddistribution over time. Conclusions: This study offers insights into the evolution of health informatics research in Korea,underscoring the role of HIR in documenting this progression. The findings reveal a balance between emerging technologiesand foundational healthcare themes, demonstrating the field’s adaptability and sustained relevance. Future research shouldextend the analysis to other journals and further consider ethical implications and global developments.