Rethinking Surge Preparedness After COVID-19: Effective Patient Load Balancing Within Health Systems and Beyond.

Area of Science:

• Public Health
• Healthcare Management
• Infectious Disease Epidemiology

Background:

• New York City became the epicenter of the COVID-19 pandemic, leading to over 80,000 hospitalizations during the initial wave.
• Hospitals in downstate New York faced immense pressure, necessitating rapid adaptation of procedures to manage the novel disease and patient surge.
• Effective patient load balancing, transferring patients between hospitals within a health system to equalize capacity, became critical for operational continuity.

Purpose of the Study:

• To document and analyze the evolution of patient load balancing procedures in major New York health systems during the COVID-19 pandemic.
• To identify key challenges, successful strategies, and lessons learned in implementing patient load balancing during a public health crisis.
• To develop consensus-based recommendations and best practices for facility and health system-level patient load balancing.

Main Methods:

• Qualitative study involving discussions with members from the 6 largest health systems in downstate New York.
• Exploration of insights, experiences, and collaborative efforts in adapting patient load balancing protocols.
• Synthesis of collective knowledge to formulate recommendations.

Main Results:

• Health systems developed dynamic patient load balancing strategies to cope with the unprecedented surge.
• Collaboration and communication were identified as crucial elements for successful inter-facility patient transfers.
• Adaptability of existing infrastructure and protocols was key to managing patient flow.

Conclusions:

• Consensus recommendations and best practices for patient load balancing were established based on real-world pandemic experiences.
• These findings can inform the development of robust regional patient load balancing strategies for future public health emergencies.
• The study highlights the importance of system-level coordination and flexibility in healthcare delivery during crises.