Globally, hospitals are creating a model that will make use of big data to address how COVID-19 will affect current and future policies, procedures, and resources. These hospitals will create a simulation model that enables users to see and visualize fluctuating patient loads and potential hospital mitigation measures. Personal protective equipment (PPE) re-sterilization, elective surgery postponement, and increased staffing are a few examples of these policies. The capabilities of a model created by the relevant Ministry of Health department policy, which offers forecasts for total patient numbers, will be built upon this model. The new model will project hospital capacity or the effect of potential hospital policies or mitigating measures. Together, these models will provide a thorough picture of COVID-19's effects, assisting hospitals in making choices that will make the most efficient use of their resources. 

Hospitals and health systems have had to deal with PPE shortages and the potential for capacity restrictions in the battle against COVID-19. Leaders in the sector have moved swiftly to create solutions that would aid companies in keeping track of their resources and providing high-quality care. Predictive analytics models were recently developed by a hospital to assist in forecasting patient load, bed capacity, ventilator availability, and other indicators. For hospitals and health systems to optimize the delivery of care for COVID-19 and other patients, the models provide fast, accurate information. Two firms with expertise in patient demographics, data, and modeling collaboratively created these prediction models. These kinds of tools have been crucial in assisting companies in keeping up with or even getting ahead of the epidemic. Real-time data has been essential in reducing COVID-19's impacts and is anticipated to continue to play a significant role in the industry's response to the virus. Their model is anticipated to assist hospital managers and policymakers in resource optimization and in understanding the effects that various policies would have on procedures and results.

Based on a hospital's experience, discuss how predictive analytics models help get ready for COVID-19 pandemic needs.