Identification of high resource utilizing patients on internal medicine hospital services.

In order to provide high quality, cost-efficient care, it is critical to understand drivers of the cost of care. Therefore, we sought to identify clinical variables associated with high utilization (cost) in patients admitted to medical services and to develop a robust model to identify high utilization patients. In this case-control analysis, cases were identified as the 200 most costly patients admitted to internal medicine/internal medicine subspecialty services using our institution's computerized clinical data warehouse over a 7-month time period (November 1, 2012-May 31, 2013).