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Predicting the Length of Stay in Hospital Emergency Rooms in Rhode Island

Advances in Business and Management Forecasting

ISBN: 978-1-83982-091-5, eISBN: 978-1-83982-090-8

Publication date: 1 September 2021


Predicting a patient's length of stay (LOS) in a hospital setting has been widely researched. Accurately predicting an individual's LOS can have a significant impact on a healthcare provider's ability to care for individuals by allowing them to properly prepare and manage resources. A hospital's productivity requires a delicate balance of maintaining enough staffing and resources without being overly equipped or wasteful. This has become even more important in light of the current COVID-19 pandemic, during which emergency departments around the globe have been inundated with patients and are struggling to manage their resources.

In this study, the authors focus on the prediction of LOS at the time of admission in emergency departments at Rhode Island hospitals through discharge data obtained from the Rhode Island Department of Health over the time period of 2012 and 2013. This work also explores the distribution of discharge dispositions in an effort to better characterize the resources patients require upon leaving the emergency department.



Lamere, A.T., Nguyen, S., Niu, G., Olinsky, A. and Quinn, J. (2021), "Predicting the Length of Stay in Hospital Emergency Rooms in Rhode Island", Lawrence, K.D. and Klimberg, R.K. (Ed.) Advances in Business and Management Forecasting (Advances in Business and Management Forecasting, Vol. 14), Emerald Publishing Limited, Leeds, pp. 35-48.



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