ARIMA Model, Recurrent Neural Network, and Logistic Regression Model For Hospital Operation Optimization

Hospital Operation Optimization Using AI

Written by Shiyan Boxer

Photo by docwire

Hospital Operation Optimization

Healthcare professionals deal with high pressures to improve hospital performance. This is a difficult task since, in order to evaluate and optimize hospital results, several factors must be considered including emergency room waiting times, a number of patients, medical staff preparation, quality of care provided, availability of resources, amenities, rooms available, and more.

The Point of this Article

This article briefly outlines the types of advanced logistic regression models that will be explored in future articles including ARIMA Model, Recurrent Neural Network, and Logistic Regression Model. Throughout this series, we’ll build, implement, and test the three models and determine their efficacy to optimize hospital operation.

Objective

The objective of this project is to build a predictive model to forecast the daily inflow of patients to the ER by acuity levels one week in advance using logistic regression. This will help in effectively staffing…