Evolution of simulation scholarship: A text mining exploration

IF 3.4 3区 医学 Q1 NURSING
Erin E Blanchard PhD, MSN, RN, CHSE, CMQ , Beratiye Oner PhD, MSN, RN , Ashleigh Allgood MPH, MBA , Dawn Taylor Peterson PhD , Ferhat D Zengul PhD , Michelle R. Brown PhD, MLS(ASCP)SBB, CHSE
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引用次数: 0

Abstract

Background

Text mining uses advanced machine learning algorithms, natural language processing, and statistical analyses to unveil hidden themes in a body of text. Reviewing the simulation literature though text mining allows researchers to categorize extensive collections of publications and develop salient questions based on mapping the evolution of simulation scholarship.

Methods

This review examined manuscripts in five healthcare simulation journals between 2006 and 2022, resulting in 2,382 articles included in the text corpus.

Results

The top 20 topics were identified and named, in addition to which topics had the highest number of publications. Finally, publication patterns for each topic were examined, with several hypotheses offered as explanation of the results.

Discussion

Practical implications of text mining include tracking publication shifts over time, as well as identifying areas of future research that warrant more in-depth, contextual analyses.
模拟学术的演变:文本挖掘探索
背景文本挖掘利用先进的机器学习算法、自然语言处理和统计分析来揭示文本中隐藏的主题。通过文本挖掘对仿真文献进行回顾,研究人员可以对大量出版物进行分类,并在绘制仿真学术演变图的基础上提出突出的问题。结果确定并命名了前20个主题,以及哪些主题的出版物数量最多。最后,对每个主题的发表模式进行了研究,并提出了几种假设来解释研究结果。讨论文本挖掘的实际意义包括跟踪随时间推移的发表变化,以及确定需要进行更深入的背景分析的未来研究领域。
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来源期刊
CiteScore
5.50
自引率
15.40%
发文量
107
期刊介绍: Clinical Simulation in Nursing is an international, peer reviewed journal published online monthly. Clinical Simulation in Nursing is the official journal of the International Nursing Association for Clinical Simulation & Learning (INACSL) and reflects its mission to advance the science of healthcare simulation. We will review and accept articles from other health provider disciplines, if they are determined to be of interest to our readership. The journal accepts manuscripts meeting one or more of the following criteria: Research articles and literature reviews (e.g. systematic, scoping, umbrella, integrative, etc.) about simulation Innovative teaching/learning strategies using simulation Articles updating guidelines, regulations, and legislative policies that impact simulation Leadership for simulation Simulation operations Clinical and academic uses of simulation.
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