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KMID : 1100520170230020077
Healthcare Informatics Research
2017 Volume.23 No. 2 p.77 ~ p.86
2016 Year-in-Review of Clinical and Consumer Informatics: Analysis and Visualization of Keywords and Topics
Park Hyeoun-Ae

Lee Joo-Yun
On Jeong-Ah
Lee Ji-Hyun
Jung Hye-Sil
Park Seul-Ki
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
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