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Area of Science:

  • Disaster medicine
  • Medical technology
  • Health informatics

Background:

  • Medical care in disaster settings is increasingly influenced by technological advancements.
  • Lack of a conceptual framework risks fragmented innovation and limited interoperability.
  • Key technologies include telecommunications, physiologic monitoring, artificial intelligence, and computer vision.

Purpose of the Study:

  • To develop a framework for categorizing medical innovations in disaster environments.
  • To enhance the conceptualization of interconnected technological developments.
  • To guide practitioners, policymakers, and the private sector in leveraging these innovations.

Main Methods:

  • Integration of current literature review.
  • Incorporation of expert insights.
  • Analysis of global market trends.

Main Results:

  • Proposal of a 4-category innovation framework: Enabling Technologies, Signal Acquisition, Data Utilization, and Applications.
  • Subdivision of Applications into 4 use cases: Disease/Injury Surveillance & Detection, Population Protection, Responder Protection, and Disease/Injury Management.
  • Identification of potential applications for various stakeholders.

Conclusions:

  • The proposed framework facilitates a holistic approach to medical innovations in disasters.
  • It promotes better interoperability and reduces the risk of innovation silos.
  • Stakeholders can use this framework to inform clinical practice, funding, and development priorities.