Optimizing Patient Flow and Resource Utilization: Transfer Centers as Strategic Command Hubs in Multi-Hospital Healthcare Systems

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Research ID 2DGX7

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Abstract

Healthcare systems face unprecedented operational challenges including capacity constraints and financial pressures, exacerbated by workforce shortages and shifting care delivery models. Optimized transfer centers emerge as a strategic solution, functioning as centralized hubs that coordinate inter- and intra-facility patient transfers while integrating clinical decision-making with logistics and bed management. This article explores how such centers serve as catalysts for enhancing access, efficiency, and cost control across a ten-hospital health system in the DMV region. Through a performance transformation framework, the article examines the structural and technological components contributing to effective transfer center operations, including centralized communication platforms, real-time data integration systems, standardized triage protocols, bed management visualization technologies, and interdisciplinary staffing models. Key outcomes demonstrate significant improvements in transfer times, emergency department boarding, resource utilization, and financial performance. The implementation framework focuses on improving performance and lowering costs for outbound BLS ambulance and wheelchair van services for acute patient transport, while simultaneously reducing administrative burden on clinicians who were previously arranging outbound transportation and decreasing overall length of stay. Optimized transfer centers represent a high-impact intervention for healthcare systems seeking to improve resource allocation while enhancing quality and equity of care across distributed networks.

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Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

Not applicable

Data Availability

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

Funding

This work did not receive any external funding.

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  • Classification

    DDC Code: 362.11

  • Version of record

    v1.0

  • Issue date

    04 September 2025

  • Language

    en

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Open Access
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CC-BY-NC 4.0
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