Medical informatics research trend analysis: A text mining approach

Yong Mi Kim, Dursun Delen

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The objective of this research is to identify major subject areas of medical informatics and explore the time-variant changes therein. As such it can inform the field about where medical informatics research has been and where it is heading. Furthermore, by identifying subject areas, this study identifies the development trends and the boundaries of medical informatics as an academic field. To conduct the study, first we identified 26,307 articles in PubMed archives which were published in the top medical informatics journals within the timeframe of 2002 to 2013. And then, employing a text mining -based semi-automated analytic approach, we clustered major research topics by analyzing the most frequently appearing subject terms extracted from the abstracts of these articles. The results indicated that some subject areas, such as biomedical, are declining, while other research areas such as health information technology (HIT), Internet-enabled research, and electronic medical/health records (EMR/EHR), are growing. The changes within the research subject areas can largely be attributed to the increasing capabilities and use of HIT. The Internet, for example, has changed the way medical research is conducted in the health care field. While discovering new medical knowledge through clinical and biological experiments is important, the utilization of EMR/EHR enabled the researchers to discover novel medical insight buried deep inside massive data sets, and hence, data analytics research has become a common complement in the medical field, rapidly growing in popularity.

Original languageEnglish
Pages (from-to)432-452
Number of pages21
JournalHealth Informatics Journal
Volume24
Issue number4
DOIs
StatePublished - 1 Dec 2018
Externally publishedYes

Fingerprint

Medical Informatics
Data Mining
Biomedical Research
Research
Electronic Health Records
Internet
Research Subjects
PubMed
Research Personnel
Delivery of Health Care

Keywords

  • cluster analysis
  • electronic health records
  • medical informatics
  • PubMed
  • text mining

Cite this

@article{5ea83fdd120643f2a42ec42d6d655f48,
title = "Medical informatics research trend analysis: A text mining approach",
abstract = "The objective of this research is to identify major subject areas of medical informatics and explore the time-variant changes therein. As such it can inform the field about where medical informatics research has been and where it is heading. Furthermore, by identifying subject areas, this study identifies the development trends and the boundaries of medical informatics as an academic field. To conduct the study, first we identified 26,307 articles in PubMed archives which were published in the top medical informatics journals within the timeframe of 2002 to 2013. And then, employing a text mining -based semi-automated analytic approach, we clustered major research topics by analyzing the most frequently appearing subject terms extracted from the abstracts of these articles. The results indicated that some subject areas, such as biomedical, are declining, while other research areas such as health information technology (HIT), Internet-enabled research, and electronic medical/health records (EMR/EHR), are growing. The changes within the research subject areas can largely be attributed to the increasing capabilities and use of HIT. The Internet, for example, has changed the way medical research is conducted in the health care field. While discovering new medical knowledge through clinical and biological experiments is important, the utilization of EMR/EHR enabled the researchers to discover novel medical insight buried deep inside massive data sets, and hence, data analytics research has become a common complement in the medical field, rapidly growing in popularity.",
keywords = "cluster analysis, electronic health records, medical informatics, PubMed, text mining",
author = "Kim, {Yong Mi} and Dursun Delen",
year = "2018",
month = "12",
day = "1",
doi = "10.1177/1460458216678443",
language = "English",
volume = "24",
pages = "432--452",
journal = "Health Informatics Journal",
issn = "1460-4582",
publisher = "SAGE Publications Ltd",
number = "4",

}

Medical informatics research trend analysis : A text mining approach. / Kim, Yong Mi; Delen, Dursun.

In: Health Informatics Journal, Vol. 24, No. 4, 01.12.2018, p. 432-452.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Medical informatics research trend analysis

T2 - A text mining approach

AU - Kim, Yong Mi

AU - Delen, Dursun

PY - 2018/12/1

Y1 - 2018/12/1

N2 - The objective of this research is to identify major subject areas of medical informatics and explore the time-variant changes therein. As such it can inform the field about where medical informatics research has been and where it is heading. Furthermore, by identifying subject areas, this study identifies the development trends and the boundaries of medical informatics as an academic field. To conduct the study, first we identified 26,307 articles in PubMed archives which were published in the top medical informatics journals within the timeframe of 2002 to 2013. And then, employing a text mining -based semi-automated analytic approach, we clustered major research topics by analyzing the most frequently appearing subject terms extracted from the abstracts of these articles. The results indicated that some subject areas, such as biomedical, are declining, while other research areas such as health information technology (HIT), Internet-enabled research, and electronic medical/health records (EMR/EHR), are growing. The changes within the research subject areas can largely be attributed to the increasing capabilities and use of HIT. The Internet, for example, has changed the way medical research is conducted in the health care field. While discovering new medical knowledge through clinical and biological experiments is important, the utilization of EMR/EHR enabled the researchers to discover novel medical insight buried deep inside massive data sets, and hence, data analytics research has become a common complement in the medical field, rapidly growing in popularity.

AB - The objective of this research is to identify major subject areas of medical informatics and explore the time-variant changes therein. As such it can inform the field about where medical informatics research has been and where it is heading. Furthermore, by identifying subject areas, this study identifies the development trends and the boundaries of medical informatics as an academic field. To conduct the study, first we identified 26,307 articles in PubMed archives which were published in the top medical informatics journals within the timeframe of 2002 to 2013. And then, employing a text mining -based semi-automated analytic approach, we clustered major research topics by analyzing the most frequently appearing subject terms extracted from the abstracts of these articles. The results indicated that some subject areas, such as biomedical, are declining, while other research areas such as health information technology (HIT), Internet-enabled research, and electronic medical/health records (EMR/EHR), are growing. The changes within the research subject areas can largely be attributed to the increasing capabilities and use of HIT. The Internet, for example, has changed the way medical research is conducted in the health care field. While discovering new medical knowledge through clinical and biological experiments is important, the utilization of EMR/EHR enabled the researchers to discover novel medical insight buried deep inside massive data sets, and hence, data analytics research has become a common complement in the medical field, rapidly growing in popularity.

KW - cluster analysis

KW - electronic health records

KW - medical informatics

KW - PubMed

KW - text mining

UR - http://www.scopus.com/inward/record.url?scp=85055671034&partnerID=8YFLogxK

U2 - 10.1177/1460458216678443

DO - 10.1177/1460458216678443

M3 - Article

C2 - 30376768

AN - SCOPUS:85055671034

VL - 24

SP - 432

EP - 452

JO - Health Informatics Journal

JF - Health Informatics Journal

SN - 1460-4582

IS - 4

ER -