A neural clustering approach to iso-resource grouping for acute healthcare in Australia

Abstract

Knowledge about resource consumption and utilisation is vital in modern healthcare environments. In order to manage both human and material resources efficiently, a typical approach is to group the patients based on common characteristics. The most widely used approach is driven by the Case Mix funding formula, namely to classify patients according to diagnostic related groups (DRGs). Although it is clinically meaningful, our experience suggests that DRG groupings do not necessarily present a sound basis for relevant knowledge generation. We propose an alternative grouping of the patients based on a neural clustering approach, which generates homogeneous groups of patients with similar resou..