Convergence in the Health Information Management and Interdisciplinary Identification

Document Type : Original Article

Author

Associate Prof. Information Science & Knowledge, Persian Gulf University, Bushehr, Iran. Shiraz University of Medical Science, Shiraz, Iran

Abstract
 
This research is essential to identify and evaluate scientific products, compare the scientific map to convergence, and identify interdisciplinary fields in health Information management to make decisions and policies. This research is applied, and in terms of approach, it is a scientometric research type, and based on data collection, it is a descriptive research type. The statistical population of the current research is all the articles published by researchers from around the world from 2021 to 2023 in the "Web of Science" database. Many scientometric software programs have been used to analyze data and draw a scientific map. The findings show that the most productive fields of health Information management in the world are the fields of management, mental health, care, health care, information, health, and COVID-19. The findings show emerging topics that have a short history and high frequency and include the following topics: Health literacy, digital health, health education, medical informatics, machine learning, Artificial intelligence, Telemedicine, and information management. The comparison of scientific products shows that many emerging and interdisciplinary fields in health information management are being formed.
 
 

Keywords

Subjects


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Volume 23, Issue 3
Summer 2025
Pages 39-49

  • Receive Date 24 March 2024
  • Revise Date 27 April 2025
  • Accept Date 27 April 2025