OBJECTIVES: To quantify the burden of hysterectomies as expressed in Operating Room Time (ORT), Length of Stay (LOS) and Hospitalization Costs and to estimate the incremental effect in cancer patients. METHODS: The Premier Perspective® Database containing billing data from over 600 hospitals in the U.S was utilized.  All elective inpatient hysterectomies (including radical, total and sub-total resections) from 2008-2014 were identified.  Resource utilization parameters of ORT, LOS and hospital costs (2014 US Dollars) were computed from the billing data.  Patient’s cancer status was identified based on ICD-9 diagnosis codes for uterine, cervical or adnexal cancer.  Patient, procedure, and hospital factors were identified and included in multivariable models evaluating the association of cancer status and resource utilization.  Analyses were conducted in the overall sample and within resection types and accounted for the clustering of patients within hospitals; p values of <0.05 were considered to be statistically significant.  RESULTS: A total of 263,808 patients undergoing hysterectomy were identified in the study (radical=6,292; total=225,075; sub-total=32,441).  The average ORT of hysterectomy was 166 mins (SD=169), with a mean LOS of 2.2 days (SD=1.9) and overall hospital costs of $9,109 (SD=$7,181); resource utilization varied significantly based on type of resection. Overall, 11.55% of the patients had a cancer diagnosis (radical=66.1%; sub-total=2.5%; total=11.3%). After adjusting for patient, procedural and provider characteristics, patients with cancer had significantly higher resource burden compared to patients who did not have cancer (15.0% higher ORT, 25.3% higher LOS, and 27.3% higher costs).  Significantly higher burden was consistently observed for cancer patients across all resection types.  These differences were most pronounced for LOS and hospital costs in patients undergoing sub-total hysterectomy (53.3% higher LOS and 36.2% higher costs). CONCLUSIONS: Patients undergoing hysterectomy have high economic burden and the resource utilization is significantly higher for patients with a cancer diagnosis.