by Amidst the third wave of the COVID-19 pandemic in 2021, the Canadian healthcare system faced immense pressure as hospital capacities were stretched to their limits. In response, hospitals across the country collaborated to share resources and provide mutual support in delivering care.
To optimize resource utilization and ensure readiness for patient transfers from outside their catchment area, including Toronto and Manitoba, the London Health Sciences Center (LHSC) turned to a team of experts from the London Healthcare Sciences Center, Ivey Business School, and King’s University College.
The need for an effective solution was pressing as LHSC leaders sought to make informed decisions on resource allocation and capacity management.
The simulation model, developed by the collaborative team, provided LHSC with real-time data-driven insights, enabling them to maintain optimal care for all hospital units.
The pandemic necessitated a collaborative approach to healthcare, with strategies such as having field hospitals on standby and patient transfers between hospitals playing a crucial role in managing the pandemic response.
Leveraging their previous collaborations, hospital leadership partnered with researchers from Ivey Business School and King’s University College to create the model. The team designed a Monte Carlo simulation tool, which predicted the likelihood of LHSC being over capacity in response to COVID-19 related impacts, such as changes in hospital admission rates, managing outbreaks, and balancing pandemic response with planned hospital activities.
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1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it.
