Universal Health Management: Advanced Technologies for Early Intervention

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Background

As populations age worldwide and chronic diseases increasingly affect younger demographics, there is a global imperative to develop scalable and effective health management systems. The integration of advanced technologies such as 5G, big data, wearable devices, and artificial intelligence offers unprecedented opportunities to revolutionize health management. This approach not only addresses the rising incidence of chronic conditions but also supports sustainable healthcare practices that can be adapted across different countries and health systems.

This Research Topic aims to explore the development and implementation of a technology-driven health management framework on a global scale. The focus is on enhancing early screening, assessment, and intervention to prevent chronic diseases and manage health conditions more effectively throughout an individual's life cycle. By leveraging technology, this model aims to provide continuous, dynamic monitoring and proactive health management, potentially transforming healthcare delivery worldwide.

To delve into this comprehensive health management strategy and understand its global application, we invite contributions that cover:
• Innovations in technology for proactive health monitoring and risk management.
• Comparative effectiveness of tech-driven health management systems across different regions.
• Policy impact and global health system adaptations for integrating technology in chronic disease management.
• Studies on population health outcomes following technology integration in healthcare.
• Scalability challenges and solutions in deploying technology-enabled health services internationally.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

  • Brief Research Report
  • Classification
  • Clinical Trial
  • Community Case Study
  • Curriculum, Instruction, and Pedagogy
  • Data Report
  • Editorial
  • FAIR² Data
  • FAIR² DATA Direct Submission

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

  • Brief Research Report
  • Classification
  • Clinical Trial
  • Community Case Study
  • Curriculum, Instruction, and Pedagogy
  • Data Report
  • Editorial
  • FAIR² Data
  • FAIR² DATA Direct Submission
  • General Commentary
  • Hypothesis and Theory
  • Methods
  • Mini Review
  • Opinion
  • Original Research
  • Perspective
  • Policy Brief
  • Review
  • Study Protocol
  • Systematic Review
  • Technology and Code

Keywords: early screening, assessment, and intervention to prevent chronic diseases and manage health conditions

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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