Background: Psychosocial distress screening (DS) and management is associated with improved quality of life and outcomes in cancer patients and is required for accreditation by the American College of Surgeons Commission on Cancer. Comprehensive distress screening (CDS) consists of routine distress screening, evaluation, referral to appropriate psychosocial services, and follow-up to ensure adequate care. Electronic medical record (EMR) systems can be leveraged to facilitate and document CDS as part of clinical care and to evaluate the CDS process as a quality standard. The aim of this study is to develop and implement an EMR-based tool to document and evaluate the CDS process as part of routine oncology care. Methods: An EMR-based tool with structured data fields is developed for social workers to document risk factors for distress, assessment, management plan including psychosocial service referrals, and time spent delivering care following DS using the NCCN distress thermometer (DT). Evaluation of CDS process is done in cancer patients who have documented psychosocial care in the EMR-system from 1/2017-5/2018. Results: During the study period, 1327 cancer patients underwent 2480 distress screening evaluations. The average distress score was 3.2 (median = 2) on the DT scale of 0-10, with 855 (64%), 326 (25%), and 146 (11%) patients reporting on average mild (0-3), moderate (4-6), and severe (7-10) distress respectively. 400/1327 (30%) patients accounted for 1177 documented social work contact/visits, of which financial (40%) and emotional (15%) were the most common concerns. 89% (1047) of the visits had follow-up plans and 77% of encounters resulted in referrals, of which financial support (26%) and pharmacy assistance (22%) were the most common referral services. The average time spent on each psychosocial care visit was reported to be 21 minutes. Conclusions: EMR-based forms with structured data fields can be used to document and promote improved adherence to national guidelines for CDS as part of routine oncology care by facilitating data collection. Such tools can be leveraged to capture relevant data on impact of CDS on social work resource utilization.