Factors influencing hospital high length of stay outliers

Factors influencing hospital high length of stay outliers

BACKGROUND The study of length of stay (LOS) outliers is important for the management and financing of hospitals. Our aim was to study variables associated with high LOS outliers and their evolution over time. METHODS We used hospital administrative data from inpatient episodes in public acute care hospitals in the Portuguese National Health Service (NHS), with discharges between years 2000 a...

Factors influencing hospital high length of stay

Factors influencing patients' length of stay.

This study was conducted to evaluate the ability of AN-DRG version 3.1 to predict variation in patients' length of stay in hospital (LOS) and identify other factors that can influence the LOS by using routinely collected hospital morbidity data. A total of 18 DRGs that comprised 4,589 episodes were analysed. Multiple regression was used to model length of stay as a function of a number of indep...

Hierarchical Genetic Algorithm and Fuzzy Radial Basis Function Networks for Factors Influencing Hospital Length of Stay Outliers

OBJECTIVES Controlling hospital high length of stay outliers can provide significant benefits to hospital management resources and lead to cost reduction. The strongest predictive factors influencing high length of stay outliers should be identified to build a high-performance prediction model for hospital outliers. METHODS We highlight the application of the hierarchical genetic algorithm to...

Determining Factors Influencing Length of Stay and Predicting Length of Stay Using Data Mining in the General Surgery Department

Background: Length of stay is one of the most important indicators in assessing hospital performance. A shorter stay can reduce the costs per discharge and shift care from inpatient to less expensive post-acute settings. It can lead to a greater readmission rate, better resource management, and more efficient services. Objective: This study aimed to ident...