Over the last decade, social media and free open access medical education (FOAM) has
emerged as popular forms of education and information dissemination within Emergency
Medicine. Many clinicians, from trainees to board-certified physicians, increasingly
interact and share information on social media platforms such as Twitter [
[1]
]. Twitter has been popular among medical educators as a platform for disseminating
information [
[2]
]. Within Twitter, it is common practice for users to “tweet at” or mention users
when posting, in order to share information. Typically, this information contains
brief summaries of recent publications, interesting cases, and medical opinions. With
Twitter, users attract followers that interact with other users. These relationships
create “neighborhoods” of communication and interaction. Despite the growing role
of social media in medical education, less is known regarding the extent and type
of communication. The objective of this study was to analyze existing Twitter interactions
and relationships among influential EM Twitter users. Such information would provide
a broad overview of the connections and relationships within these new educational
media.Keywords
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References
- Free Open Access Meducation (FOAM): the rise of emergency medicine and critical care blogs and podcasts (2002−2013).Emerg Med J. 2014; 31: e76-e77
- The impact of social media on a major international emergency medicine conference.Emerg Med J. 2014; 31: 401-404
- Who are the most influential emergency physicians on Twitter?.West J Emerg Med. 2017; 18: 281
- Python tutorial, technical report CS-R9526.Centrum voor Wiskunde en Informatica (CWI), Amsterdam1995
- Natural language processing with Python: analyzing text with the natural language toolkit.O’Reilly Media, Inc., 2009
- Patient perceptions of stress during evaluation for acute coronary syndrome in the emergency department.Am J Emerg Med. 2017; 35: 351
- Emergency medical services intervals and survival in trauma: assessment of the “golden hour” in a North American prospective cohort.Ann Emerg Med. 2010; 55 ([e4]): 235-246
Article Info
Publication History
Published online: January 28, 2020
Accepted:
January 27,
2020
Received in revised form:
January 22,
2020
Received:
December 5,
2019
Identification
Copyright
© 2020 Elsevier Inc. All rights reserved.
