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A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings
06:59

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Published on: November 9, 2016

A Spatial-Network Framework for Load Balancing and Patient Transfer Management During Emergencies.

Minyoung Ku1, Dohyo Jeong2, Keon-Hyung Lee1

  • 1Askew School of Public Administration and Policy, https://ror.org/05g3dte14College of Social Sciences and Public Policy, Florida State University, Tallahassee, FL, USA.

Disaster Medicine and Public Health Preparedness
|June 16, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a spatial-network framework to visualize patient transfers during disasters. It helps coordinate patient movement across hospitals for better healthcare capacity and decision-making.

Keywords:
disaster responseinterhospital transferload balancingspatial network analysistransfer management

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Last Updated: Jun 17, 2026

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Published on: January 15, 2017

Area of Science:

  • Public Health
  • Health Systems Research
  • Network Science

Background:

  • Patient transfers are vital for healthcare capacity, especially during disasters.
  • Current disaster coordination lacks visibility into real-time patient transfer status.
  • Centralized bodies often make transfer decisions with limited system-wide insight.

Purpose of the Study:

  • To develop a spatial-network framework for visualizing interhospital patient transfers.
  • To enhance situational awareness for disaster coordination bodies.
  • To support timely and informed decision-making in patient transfer management.

Main Methods:

  • A spatial-network framework representing patient flows across hospitals.
  • Typology of patient transfers to inform network representation.
  • Analysis of inpatient discharge data from a Florida health agency during a disaster.

Main Results:

  • Demonstrated the framework's applicability in a real-world disaster scenario.
  • Showcased transformation of administrative health data into actionable spatial networks.
  • Identified transfer patterns crucial for coordination.

Conclusions:

  • The spatial-network framework improves interhospital transfer coordination during disasters.
  • Enhanced data visualization supports better situational awareness and decision-making.
  • Administrative health data can be leveraged for effective disaster response planning.