High-cost users generate extremely high costs when compared with average users in the same diagnostic-related group (DRG). They represent a major financial loss for a health service organization. The research was conducted using an area health service patient database for online analytical processing to produce descriptive statistics and graphs of 'high-cost' and 'non-high-cost users'. Trends and patterns were identified across key variables derived from clinical, financial and operational categories..