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IoT, Cloud Computing and Big Data: Integrated Framework for Healthcare in Disasters.

Samaneh Madanian1, Dave Parry1

  • 1Department of Computer Science, AUT University, Auckland, New Zealand.

Studies in Health Technology and Informatics
|August 24, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an integrated framework using Internet of Things (IoT), cloud computing, and big data to improve healthcare data accessibility and analysis in disaster management for better preparedness and response.

Keywords:
Disaster PlanningDisastersMedical Informatics

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Area of Science:

  • Health Informatics
  • Disaster Management
  • Information Technology

Background:

  • Healthcare in disaster management is challenged by unreliable and inaccessible data from diverse sources.
  • Effective disaster response requires timely and accurate health information for strategic planning.

Purpose of the Study:

  • To introduce an integrated framework utilizing IoT, cloud computing, and big data for disaster healthcare management.
  • To enhance data sharing and analytical capabilities for healthcare managers during all disaster phases.
  • To enable prediction of health consequences based on geographical and disaster background.

Main Methods:

  • Integration of Internet of Things (IoT) devices for data collection.
  • Utilization of cloud computing for scalable data storage and processing.
  • Application of big data analytics for trend identification and prediction.

Main Results:

  • The framework facilitates reliable data accessibility for healthcare authorities.
  • Improved data sharing enables analytical calculations for trend discovery.
  • Enhanced strategic planning and preparedness for disaster healthcare.

Conclusions:

  • The proposed framework addresses critical data challenges in disaster healthcare management.
  • It supports informed decision-making for predicting health impacts and improving preparedness.
  • The integration of IoT, cloud, and big data offers a robust solution for effective disaster healthcare.