Title

Session 11: Development and Evaluation of a Rural SARS-Cov-2 Hospital Admissions Predictive Model

Presenter Information/ Coauthors Information

Kayli Rageth, Avera Health

Presentation Type

Invited

Track

Health Care Application

Abstract

Ongoing evolution of the SARS-Cov-2 virus has propelled the world into a state of the unknown. The impact upon healthcare has been immense. Case numbers and hospitalizations have grown at rapid rates as new variants exhibit higher transmissibility. Efforts to gain foresight into the evolving conditions have been underway for organizational and planning purposes alike. Recognizing that there are repercussions from both, underestimates and overestimates of predicted hospitalizations, we have developed a model that leverages sophisticated data science techniques which employ foundational epidemiologic methods. This has allowed us to account for this highly volatile and dynamic landscape and forecast hospital admissions with reasonable accuracy throughout the course of this pandemic.

Start Date

2-8-2022 2:30 PM

End Date

2-8-2022 3:25 PM

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Feb 8th, 2:30 PM Feb 8th, 3:25 PM

Session 11: Development and Evaluation of a Rural SARS-Cov-2 Hospital Admissions Predictive Model

Herold Crest 253 C

Ongoing evolution of the SARS-Cov-2 virus has propelled the world into a state of the unknown. The impact upon healthcare has been immense. Case numbers and hospitalizations have grown at rapid rates as new variants exhibit higher transmissibility. Efforts to gain foresight into the evolving conditions have been underway for organizational and planning purposes alike. Recognizing that there are repercussions from both, underestimates and overestimates of predicted hospitalizations, we have developed a model that leverages sophisticated data science techniques which employ foundational epidemiologic methods. This has allowed us to account for this highly volatile and dynamic landscape and forecast hospital admissions with reasonable accuracy throughout the course of this pandemic.