Healthc Inform Res.  2017 Apr;23(2):77-86. 10.4258/hir.2017.23.2.77.

2016 Year-in-Review of Clinical and Consumer Informatics: Analysis and Visualization of Keywords and Topics

• Park HA
• Lee JY
• On J
• Lee JH
• Jung H
• Park SK

• KMID: 2378515
• DOI: http://doi.org/10.4258/hir.2017.23.2.77

Abstract

OBJECTIVES
The objective of this study was to review and visualize the medical informatics field over the previous 12 months according to the frequencies of keywords and topics in papers published in the top four journals in the field and in Healthcare Informatics Research (HIR), an official journal of the Korean Society of Medical Informatics.
METHODS
A six-person team conducted an extensive review of the literature on clinical and consumer informatics. The literature was searched using keywords employed in the American Medical Informatics Association year-in-review process and organized into 14 topics used in that process. Data were analyzed using word clouds, social network analysis, and association rules.
RESULTS
The literature search yielded 370 references and 1,123 unique keywords. "˜Electronic Health Record' (EHR) (78.6%) was the most frequently appearing keyword in the articles published in the five studied journals, followed by "˜telemedicine' (2.1%). EHR (37.6%) was also the most frequently studied topic area, followed by clinical informatics (12.0%). However, "˜telemedicine' (17.0%) was the most frequently appearing keyword in articles published in HIR, followed by "˜telecommunications' (4.5%). Telemedicine (47.1%) was the most frequently studied topic area, followed by EHR (14.7%).
CONCLUSIONS
The study findings reflect the Korean government's efforts to introduce telemedicine into the Korean healthcare system and reactions to this from the stakeholders associated with telemedicine.

Keyword

Medical Informatics; Review; Text Mining; Computer Graphics

MeSH Terms

Computer Graphics
Data Mining
Delivery of Health Care
Informatics*
Medical Informatics
Telemedicine

Figure

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  Figure 1 Flowchart of literature selection.

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  Figure 2 Word clouds of keywords and topics of articles published in the five included journals. EHR: Electronic Health Record, EMR: Electronic Medical Record, NLP: natural language processing, PHR: personal health record, HIE: health information exchange.

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  Figure 3 Word clouds with keywords and topics of articles published in Healthcare Informatics Research. EHR: Electronic Health Record, HIE: health information exchange.

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  Figure 4 Visualization obtained by social network analysis of keywords of the articles published in the five journals. EHR: Electronic Health Record, NLP: natural language processing.

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  Figure 5 Visualization obtained by social network analysis of keywords of the articles published in Healthcare Informatics Research. EHR: Electronic Health Record.

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  Figure 6 Parallel coordinate plot for 19 association rules for keywords of the articles published in the five journals. PHR: personal health record, EHR: Electronic Health Record, NLP: natural language processing.

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  Figure 7 Parallel coordinate plot for 14 association rules for keywords of the articles published in Healthcare Informatics Research.

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