The length of stay (LOS) is an important indicator of the efficiency of hospital management. Reduction in the number of inpatient days results in decreased risk of infection and medication side effects, improvement in the quality of treatment, and increased hospital profit with more efficient bed management. The purpose of this study was to determine which factors are associated with length of hospital stay, based on electronic health records, in order to manage hospital stay more efficiently.
Given medical data about different countries from 1990-2018, I created a baseline neural network model to predict a patient's average hospital stay.
Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5898738/
This paper has done an intensive study hospital management, which could provide crucial knowledge of hospital stay and healthcare investment.