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KMID : 1140520220260020019
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Korean Journal of Emergency Medical Services
2022 Volume.26 No. 2 p.19 ~ p.35
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Identifying research trends in the emergency medical technician field using topic modeling
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Lee Jung-Eun
Kim Moo-Hyun
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Abstract
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Purpose: This study aimed to identify research topics in the emergency medical technician (EMT) field and examine research trends.
Methods: In this study, 261 research papers published between January 2000 and May 2022 were collected, and EMT research topics and trends were analyzed using topic modeling techniques. This study used a text mining technique and was conducted using data collection flow, keyword preprocessing, and analysis. Keyword preprocessing and data analysis were done with the RStudio Version 4.0.0 program.
Results: Keywords were derived through topic modeling analysis, and eight topics were ultimately identified: patient treatment, various roles, the performance of duties, cardiopulmonary resuscitation, triage systems, job stress, disaster management, and education programs.
Conclusion: Based on the research results, it is believed that a study on the development and application of education programs that can successfully increase the emergency care capabilities of EMTs is needed.
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KEYWORD
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EMT, Topic modeling, Text mining, Research trend
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