Background: The benefits of supportive medicine (SM) for cancer patients include improved quality of life, increased patient satisfaction, improved symptom management, increased cost savings and improved survival rates. At one NCI-designated cancer center, all patients were screened for distress; those who screened positive or were directly referred by a provider were enrolled into our multi-disciplinary SM program. Here, we document the impact of the supportive medicine program on outcomes of emergency department (ED) visits, hospital readmission, and non-billable touchpoints associated with patient navigation and resource referrals. Methods: The program systematically screened for biopsychosocial distress utilizing the National Comprehensive Cancer Center Distress Thermometer (DT) and the Problem Checklist (PC) to identify practical, emotional, spiritual and physical issues. Patients were categorized into three types: screened and enrolled in the SM program, and screened and not enrolled in the SM program, or provider referral into the SM program. Data included patient’s age, number of hospital admissions, emergency department visits, and non-billable touchpoints at 90 and 180 days after the distress screening or referral. Descriptive data were analyzed with counts and percentages for categorical variables and summarized with mean and standard deviation for numerical variables. For investigation of the effects of time and patient type on the change in utilization rate, generalized estimation equations for Poisson regression were conducted for each outcome. Results: In all, 2,738 patients were included in the analysis. Patients who were referred from a provider tended to be younger (p < .01) and more likely to die within 90 days (p < .001). At 180 days, ED visits decreased 18% for patients referred to the SM program and 42% for patients screened into the SM program, compared to a 3% decrease in ED visits among those not enrolled in the SM program (p < .01). Similarly, hospital admissions decreased 34% for patients referred to and 39% screened into the SM program, compared to a 4% increase for patients not enrolled in the SM program (p < .01). Non-billable touchpoints increased among all types of patients. Conclusions: An SM program reduces hospital admissions and ED visits, therefore improving outcomes and potentially reducing the cost of care for cancer patients. Future research should link this data to claims data to definitely evaluate the impact of SM programs on cost.