Cargando…
Data Analysis of Physician Competence Research Trend: Social Network Analysis and Topic Modeling Approach
BACKGROUND: Studies on competency in medical education often explore the acquisition, performance, and evaluation of particular skills, knowledge, or behaviors that constitute physician competency. As physician competency reflects social demands according to changes in the medical environment, analy...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10398558/ https://www.ncbi.nlm.nih.gov/pubmed/37467028 http://dx.doi.org/10.2196/47934 |
_version_ | 1785084079593488384 |
---|---|
author | Yune, So Jung Kim, Youngjon Lee, Jea Woog |
author_facet | Yune, So Jung Kim, Youngjon Lee, Jea Woog |
author_sort | Yune, So Jung |
collection | PubMed |
description | BACKGROUND: Studies on competency in medical education often explore the acquisition, performance, and evaluation of particular skills, knowledge, or behaviors that constitute physician competency. As physician competency reflects social demands according to changes in the medical environment, analyzing the research trends of physician competency by period is necessary to derive major research topics for future studies. Therefore, a more macroscopic method is required to analyze the core competencies of physicians in this era. OBJECTIVE: This study aimed to analyze research trends related to physicians’ competency in reflecting social needs according to changes in the medical environment. METHODS: We used topic modeling to identify potential research topics by analyzing data from studies related to physician competency published between 2011 and 2020. We preprocessed 1354 articles and extracted 272 keywords. RESULTS: The terms that appeared most frequently in the research related to physician competency since 2010 were knowledge, hospital, family, job, guidelines, 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 4 periods (2011-2013, 2014-2016, 2017-2019, and 2020-2021) and performed a linear regression analysis. The results showed a change in topics by period. The hot topics that have shown increased interest among scholars over time include Community-based healthcare, Career and self-management, and Continuous professional development. CONCLUSIONS: On the basis of the analysis of research trends, it is predicted that physician professionalism and community-based medicine will continue to be studied in future studies on physician competency. |
format | Online Article Text |
id | pubmed-10398558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-103985582023-08-04 Data Analysis of Physician Competence Research Trend: Social Network Analysis and Topic Modeling Approach Yune, So Jung Kim, Youngjon Lee, Jea Woog JMIR Med Inform Original Paper BACKGROUND: Studies on competency in medical education often explore the acquisition, performance, and evaluation of particular skills, knowledge, or behaviors that constitute physician competency. As physician competency reflects social demands according to changes in the medical environment, analyzing the research trends of physician competency by period is necessary to derive major research topics for future studies. Therefore, a more macroscopic method is required to analyze the core competencies of physicians in this era. OBJECTIVE: This study aimed to analyze research trends related to physicians’ competency in reflecting social needs according to changes in the medical environment. METHODS: We used topic modeling to identify potential research topics by analyzing data from studies related to physician competency published between 2011 and 2020. We preprocessed 1354 articles and extracted 272 keywords. RESULTS: The terms that appeared most frequently in the research related to physician competency since 2010 were knowledge, hospital, family, job, guidelines, 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 4 periods (2011-2013, 2014-2016, 2017-2019, and 2020-2021) and performed a linear regression analysis. The results showed a change in topics by period. The hot topics that have shown increased interest among scholars over time include Community-based healthcare, Career and self-management, and Continuous professional development. CONCLUSIONS: On the basis of the analysis of research trends, it is predicted that physician professionalism and community-based medicine will continue to be studied in future studies on physician competency. JMIR Publications 2023-07-19 /pmc/articles/PMC10398558/ /pubmed/37467028 http://dx.doi.org/10.2196/47934 Text en ©So Jung Yune, Youngjon Kim, Jea Woog Lee. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 19.07.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Yune, So Jung Kim, Youngjon Lee, Jea Woog Data Analysis of Physician Competence Research Trend: Social Network Analysis and Topic Modeling Approach |
title | Data Analysis of Physician Competence Research Trend: Social Network Analysis and Topic Modeling Approach |
title_full | Data Analysis of Physician Competence Research Trend: Social Network Analysis and Topic Modeling Approach |
title_fullStr | Data Analysis of Physician Competence Research Trend: Social Network Analysis and Topic Modeling Approach |
title_full_unstemmed | Data Analysis of Physician Competence Research Trend: Social Network Analysis and Topic Modeling Approach |
title_short | Data Analysis of Physician Competence Research Trend: Social Network Analysis and Topic Modeling Approach |
title_sort | data analysis of physician competence research trend: social network analysis and topic modeling approach |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10398558/ https://www.ncbi.nlm.nih.gov/pubmed/37467028 http://dx.doi.org/10.2196/47934 |
work_keys_str_mv | AT yunesojung dataanalysisofphysiciancompetenceresearchtrendsocialnetworkanalysisandtopicmodelingapproach AT kimyoungjon dataanalysisofphysiciancompetenceresearchtrendsocialnetworkanalysisandtopicmodelingapproach AT leejeawoog dataanalysisofphysiciancompetenceresearchtrendsocialnetworkanalysisandtopicmodelingapproach |