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Updated: Jan 24, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Analyzing and Visualizing Knowledge Structures of Health Informatics from 1974 to 2018: A Bibliometric and Social

Tahereh Saheb1, Mohammad Saheb2

  • 1Management Studies Center, Tarbiat Modares University, Tehran, Iran.

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|May 28, 2019
PubMed
Summary

Health informatics has evolved significantly, focusing on computer science in healthcare, patient safety, and decision support systems. Future research will likely emphasize AI, IoT, and personalized patient data for predictive healthcare.

Keywords:
AlgorithmsData MiningMachine LearningMedical InformaticsPublications

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Area of Science:

  • Health Informatics
  • Bibliometrics
  • Information Science

Background:

  • Health informatics is a rapidly evolving field.
  • Understanding its scientific landscape is crucial for future development.
  • Previous reviews have not comprehensively mapped its knowledge structure.

Purpose of the Study:

  • To provide a theoretical clarification of health informatics through quantitative literature review.
  • To map scientific networks, identify knowledge structures, and track topic evolution.
  • To analyze the impact of scientific networks on the growth of health informatics.

Main Methods:

  • Quantitative literature review of 30,115 health informatics articles (1974-2018).
  • Text mining and bibliometric analysis using CiteSpace and VOSviewer.
  • Analysis of author co-citation, keyword co-occurrence, subject categories, and country co-citation networks.

Main Results:

  • Key themes include computer science in healthcare, patient safety, quality of care, and decision support systems.
  • Since 2016, a shift towards predictive, preventative, personalized, and participatory (P4) healthcare systems is evident.
  • Network analysis revealed distinct knowledge clusters and evolving research fronts.

Conclusions:

  • Future research directions include patient-generated health data, deep learning, quantified self, and IoT-based decision support systems.
  • Health informatics is transitioning towards P4 medicine.
  • Continued bibliometric analysis is essential for navigating the field's growth.