Identification of hospital cost drivers using sparse group lasso.

ABSTRACT: Public hospital spending consumes a large share of government expenditure in many countries. The large cost variability observed between hospitals and also between patients in the same hospital has fueled the belief that consumption of a significant portion of this funding may result in no clinical benefit to patients, thus representing waste. Accurate identification of the main hospital cost drivers and relating them quantitatively to the observed cost variability is a necessary step towards identifying and reducing waste. This study identifies prime cost drivers in a typical, mid-sized Australian hospital and classifies them as sources of cost variability that are either warranted or not warranted-and therefore contributing to waste. An essential step is dimension reduction using Princip

SUBMITTER: Swierkowski P 

PROVIDER: S-EPMC6179217 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature