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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Apr 6, 2023
Date Accepted: May 16, 2023

The final, peer-reviewed published version of this preprint can be found here:

Data Analysis of Physician Competence Research Trend: Social Network Analysis and Topic Modeling Approach

Yune SJ, Kim YJ, Lee JW

Data Analysis of Physician Competence Research Trend: Social Network Analysis and Topic Modeling Approach

JMIR Med Inform 2023;11:e47934

DOI: 10.2196/47934

PMID: 37467028

PMCID: 10398558

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Big Data Analysis of Physician Competence Research Trend Using Social Network Analysis and Topic Modeling

  • So Jung Yune; 
  • Young Jon Kim; 
  • Jea Woog Lee

ABSTRACT

Background:

For medical education, studies about competency often explore the acquisition, performance, and evaluation of particular skills, knowledge, or behaviors that constitute physicians’ competency according to specific in role. Therefore, a more macroscopic analysis method is required to analyze the core competencies of doctors in society in this era.

Objective:

The purpose of this study is to analyze the research trends related to physician competency to reflect the social needs according to changes in the medical environment.

Methods:

The authors used topic modeling to identify potential research topics by analyzing data from research related to physician competency published between 2011 and 2020. The authors pre-processed 1,354 articles and extracted 272 keywords.

Results:

The terms that appeared most frequently in research related to physician competency since 2010 were, in order, “knowledge,” “hospital,” “family,” “job,” “guideline,” “management,” and “communication.” The terms that appeared in most studies were “education,” “model,” “knowledge,” and “hospital.” Topic modeling revealed that the main topics about physician competency included “Evidence-based clinical practice,” “Community-based healthcare,” “Patient care,” “Career and self-management,” “Continuous professional development,” and “Communication and cooperation.” We divided the studies into four periods (2011–2013; 2014–2016; 2017–2019; and 2020–2021) and performed a linear regression analysis. The result showed the change in topics by period. The “hot topics,” which show increased interest among scholars over time, included “Community-based healthcare,” “Career and self-management,” and “Continuous professional development.”

Conclusions:

Based on the analysis of research trends, it is forecasted that physicians’ professionalism and community-based medicine will continue to be studied in future research on physician competency.


 Citation

Please cite as:

Yune SJ, Kim YJ, Lee JW

Data Analysis of Physician Competence Research Trend: Social Network Analysis and Topic Modeling Approach

JMIR Med Inform 2023;11:e47934

DOI: 10.2196/47934

PMID: 37467028

PMCID: 10398558

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