Investigating the Impact of Pandemic on the Perioperative Healthcare Workers Availability: An Agent-Based Approach

Protecting healthcare workers (HCWs) during a pandemic is critical to provide timely medical care for patients. Although prior studies have investigated HCW unavailability during the COVID-19 pandemic, the studies have not investigated the impact of parameters such as patient census, vaccination rates, transmission rates, and multiple hospital locations on HCW availability. This research considers a high-risk HCW group of perioperative staff to investigate the impact of segregating and rotating staffing policies on HCW unavailability during a pandemic in a health system with multiple locations. An agent-based model with a SEIR compartmental model was developed to simulate various scenarios. Simulated findings indicate that segregating and rotating policies significantly (p-value <0.01) reduced the peak weekly unavailability of HCWs and the total percentage of HCWs getting infected by as much as 25% and 60% when vaccination rates were lower (<75%). However, these benefits diminished when the vaccination rates increased to 75%.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/wsc63780.2024.10838823
Primary Topic
Insurance and Financial Risk Management
Type
article
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article

Investigating the Impact of Pandemic on the Perioperative Healthcare Workers Availability: An Agent-Based Approach

Vishnunarayan Girishan Prabhu, William R. Hand, Shweta Prasad
Insurance and Financial Risk Management
article

Investigating the Impact of Pandemic on the Perioperative Healthcare Workers Availability: An Agent-Based Approach

Vishnunarayan Girishan Prabhu, William R. Hand, Shweta Prasad
article en

Abstract

Protecting healthcare workers (HCWs) during a pandemic is critical to provide timely medical care for patients. Although prior studies have investigated HCW unavailability during the COVID-19 pandemic, the studies have not investigated the impact of parameters such as patient census, vaccination rates, transmission rates, and multiple hospital locations on HCW availability. This research considers a high-risk HCW group of perioperative staff to investigate the impact of segregating and rotating staffing policies on HCW unavailability during a pandemic in a health system with multiple locations. An agent-based model with a SEIR compartmental model was developed to simulate various scenarios. Simulated findings indicate that segregating and rotating policies significantly (p-value <0.01) reduced the peak weekly unavailability of HCWs and the total percentage of HCWs getting infected by as much as 25% and 60% when vaccination rates were lower (<75%). However, these benefits diminished when the vaccination rates increased to 75%.

University of North Carolina at Charlotte (US), University of Central Florida (US), Prisma Health (US), Proteogenomics Research Institute for Systems Medicine (US)
Openalex Percentile: Top 69%
Insurance and Financial Risk Management
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Investigating the Impact of Pandemic on the Perioperative Healthcare Workers Availability: An Agent-Based Approach — Vishnunarayan Girishan Prabhu, William R. Hand, et al. · (2024) | TGRS Research Map | TGRS