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🧑🏼‍💻 Research - November 17, 2024

Decoding the Digital Pulse: Bibliometric Analysis of 25 Years in Digital Health Research Through the Journal of Medical Internet Research.

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⚡ Quick Summary

A comprehensive bibliometric analysis of 25 years of digital health research published in the Journal of Medical Internet Research (JMIR) reveals significant growth and thematic shifts, particularly influenced by the COVID-19 pandemic. The study predicts a future focus on artificial intelligence and mental health in digital health research from 2024 to 2026.

🔍 Key Details

  • 📊 Dataset: 8,068 JMIR publications
  • 🌐 Analysis tools: Biopython, Claude 3 Opus, Gemini 1.5 Pro
  • 📈 Prediction models: Time Series Foundation Model, ARIMA, Exponential Smoothing, Prophet
  • 📅 Timeframe: 1999 to 2023 for publication analysis; 2024-2026 for trend predictions

🔑 Key Takeaways

  • 📈 Growth: JMIR publications have shown consistent growth, peaking in 2020.
  • 🌍 Dominance: The United States leads in contributions, with China increasing its presence.
  • 🔑 Thematic shifts: Research focus has evolved from early internet health to COVID-19 and advanced technologies.
  • 🤖 Future trends: Increased emphasis on artificial intelligence and mental health is anticipated.
  • 📊 Keyword analysis: Significant changes in research themes over the years highlight evolving priorities.
  • 🌐 Network visualization: Complex relationships between countries, paper types, and keywords were analyzed.
  • 🔮 Predictions: Future research will likely integrate computational technologies more robustly.

📚 Background

The field of digital health has rapidly evolved over the past two decades, driven by technological advancements and the increasing integration of health services with digital platforms. The Journal of Medical Internet Research (JMIR) has played a pivotal role in this evolution, serving as a primary outlet for research in this domain since its inception in 1999. Understanding the trajectory of this research can provide valuable insights into future directions and priorities.

🗒️ Study

This study conducted a detailed network analysis of JMIR publications, retrieving a total of 8,068 papers from PubMed. The researchers employed various natural language processing methods to assess keyword metrics and predict future trends in digital health research. By analyzing the data from 1999 to 2023, they aimed to uncover growth patterns and dominant themes within the field.

📈 Results

The analysis revealed a consistent growth in JMIR’s publication volume, with a notable peak in 2020, coinciding with the global pandemic. The United States emerged as the leading contributor, while China has shown a significant increase in recent years. The keyword analysis indicated a shift from early themes centered around internet health to a focus on COVID-19 and advanced technologies like machine learning. Predictions for 2024-2026 suggest a heightened focus on artificial intelligence and mental health.

🌍 Impact and Implications

The findings from this bibliometric analysis underscore the dynamic nature of digital health research and its responsiveness to global events, such as the COVID-19 pandemic. As the field continues to evolve, the integration of computational technologies will likely play a crucial role in shaping future healthcare practices. This study not only highlights current trends but also sets the stage for future research priorities, emphasizing the importance of mental health and AI in the post-pandemic era.

🔮 Conclusion

This bibliometric analysis of JMIR publications provides a comprehensive overview of the evolution of digital health research over the past 25 years. The insights gained from this study reveal a field that is not only growing but also adapting to new challenges and opportunities. As we look ahead, the anticipated focus on artificial intelligence and mental health suggests a promising future for digital health, with the potential for significant advancements in patient care and health outcomes.

💬 Your comments

What are your thoughts on the evolving landscape of digital health research? We invite you to share your insights and engage in a discussion! 💬 Leave your comments below or connect with us on social media:

Decoding the Digital Pulse: Bibliometric Analysis of 25 Years in Digital Health Research Through the Journal of Medical Internet Research.

Abstract

BACKGROUND: As the digital health landscape continues to evolve, analyzing the progress and direction of the field can yield valuable insights. The Journal of Medical Internet Research (JMIR) has been at the forefront of disseminating digital health research since 1999. A comprehensive network analysis of JMIR publications can help illuminate the evolution and trends in digital medicine over the past 25 years.
OBJECTIVE: This study aims to conduct a detailed network analysis of JMIR’s publications to uncover the growth patterns, dominant themes, and potential future trajectories in digital health research.
METHODS: We retrieved 8068 JMIR papers from PubMed using the Biopython library. Keyword metrics were assessed using accuracy, recall, and F1-scores to evaluate the effectiveness of keyword identification from Claude 3 Opus and Gemini 1.5 Pro in addition to 2 conventional natural language processing methods using key bidirectional encoder representations from transformers. Future trends for 2024-2026 were predicted using Claude 3 Opus, Google’s Time Series Foundation Model, autoregressive integrated moving average, exponential smoothing, and Prophet. Network visualization techniques were used to represent and analyze the complex relationships between collaborating countries, paper types, and keyword co-occurrence.
RESULTS: JMIR’s publication volume showed consistent growth, with a peak in 2020. The United States dominated country contributions, with China showing a notable increase in recent years. Keyword analysis from 1999 to 2023 showed significant thematic shifts, from an early internet and digital health focus to the dominance of COVID-19 and advanced technologies such as machine learning. Predictions for 2024-2026 suggest an increased focus on artificial intelligence, digital health, and mental health.
CONCLUSIONS: Network analysis of JMIR publications provides a macroscopic view of the evolution of the digital health field. The journal’s trajectory reflects broader technological advances and shifting research priorities, including the impact of the COVID-19 pandemic. The predicted trends underscore the growing importance of computational technology in future health care research and practice. The findings from JMIR provide a glimpse into the future of digital medicine, suggesting a robust integration of artificial intelligence and continued emphasis on mental health in the postpandemic era.

Author: [‘Kaczmarczyk R’, ‘Wilhelm TI’, ‘Roos J’, ‘Martin R’]

Journal: J Med Internet Res

Citation: Kaczmarczyk R, et al. Decoding the Digital Pulse: Bibliometric Analysis of 25 Years in Digital Health Research Through the Journal of Medical Internet Research. Decoding the Digital Pulse: Bibliometric Analysis of 25 Years in Digital Health Research Through the Journal of Medical Internet Research. 2024; 26:e60057. doi: 10.2196/60057

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