Articlehybrid2019

Research Subjects and Research Trends in Medical Informatics

11 citations0/0 files storedMethods of Information in Medicine

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scientometrics and bibliometrics research Electronic Health Records Systems Diverse Approaches in Healthcare and Education Studies

Abstract

OBJECTIVES: To identify major research subjects and trends in medical informatics research based on the current set of core medical informatics journals. METHODS: Analyzing journals in the Web of Science (WoS) medical informatics category together with related categories from the years 2013 to 2017 by using a smart local moving algorithm as a clustering method for identifying the core set of journals. Text mining analysis with binary counting of abstracts from these journals published in the years 2006 to 2017 for identifying major research subjects. Building clusters based on these terms for the complete time period as well as for the periods 2006-2008, 2009-2011, 2012-2014, and 2015-2017 for identifying trends. RESULTS: The identified cluster includes 17 core medical informatics journals. By text mining of these journals, 224,992 different terms in 14,414 articles were identified covering 550 specific key terms. Based on these key terms five clusters were identified: "Biomedical Data Analysis," "Clinical Informatics," "EHR and Knowledge Representation," "Mobile Health," and "Organizational Aspects of Health Information Systems." No shifts in the clusters were observed between the first two 3-year periods. In the third period, some terms like "mobile phone," "mobile apps," and "message" appear. Also, in the third period, a "Clinical Informatics" cluster appears and persists in the fourth period. In the fourth period, a rearrangement of clusters was observed. CONCLUSIONS: Beside classical subjects of medical informatics on organizing, representing, and analyzing data, we observed new developments in the context of mobile health and clinical informatics. These subjects tended to grow over the past years, and we can expect this trend to continue.

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References

1973Co‐citation in the scientific literature: A new measure of the relationship between two documents 2014Visualizing Bibliometric Networks 1963Bibliographic coupling between scientific papers 2010Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?2016Constructing bibliometric networks: A comparison between full and fractional counting 2009How to normalize cooccurrence data? An analysis of some well‐known similarity measures 2011Text mining and visualization using VOSviewer 2016Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge?

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