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

Patient transfers provide a critical mechanism for enhancing care capacity and distributing patient load across hospitals and communities. Yet, during disasters and surge events, decisions about where to send patients are often made by Medical Operations Coordination Centers and similar centralized regional coordination bodies, with limited visibility into how transfers are unfolding across the broader hospital system. This study proposes a spatial-network framework, informed by a typology of patient transfers, that represents interhospital transfers as patient flows across a geographic network of hospitals. The framework provides tools to identify and interpret transfer patterns that coordination bodies need to enhance situational awareness and make timely, informed decisions at the local, regional, and state levels. Using inpatient discharge data from a Florida health agency, this study further demonstrates the framework's applicability during a disaster and shows how administrative health data can be transformed into spatial networks that support interhospital transfer coordination decision-making.

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Publication Details

Journal
PubMed
Published
2026-06-16
DOI
https://doi.org/10.1017/dmp.2026.10391
Primary Topic
Facility Location and Emergency Management
Type
article
Field-Weighted Citation Impact
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article

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

Keon‐Hyung Lee, Dohyo Jeong, Minyoung Ku, Soonwoo Choi
PubMed
Facility Location and Emergency Management
article

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

Keon‐Hyung Lee, Dohyo Jeong, Minyoung Ku, Soonwoo Choi
article en

Abstract

Patient transfers provide a critical mechanism for enhancing care capacity and distributing patient load across hospitals and communities. Yet, during disasters and surge events, decisions about where to send patients are often made by Medical Operations Coordination Centers and similar centralized regional coordination bodies, with limited visibility into how transfers are unfolding across the broader hospital system. This study proposes a spatial-network framework, informed by a typology of patient transfers, that represents interhospital transfers as patient flows across a geographic network of hospitals. The framework provides tools to identify and interpret transfer patterns that coordination bodies need to enhance situational awareness and make timely, informed decisions at the local, regional, and state levels. Using inpatient discharge data from a Florida health agency, this study further demonstrates the framework's applicability during a disaster and shows how administrative health data can be transformed into spatial networks that support interhospital transfer coordination decision-making.

PubMedVol. 20
Florida State University (US), United States Department of Homeland Security (US), University of Kentucky (US), Korea Air Force Academy (KR)
Climate action
Openalex Percentile: Top 3%
Facility Location and Emergency Management
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