e19625 Background: Clinical practice algorithms provide a framework to guide providers’ practice in delivering care to long-term cancer survivors. Here we describe how algorithms were developed in a comprehensive cancer center and types of metrics used to evaluate their feasibility. Methods: Survivorship practice algorithms were based on a multidisciplinary care approach successfully used to build screening and treatment algorithms. This model consisted of four phases: development, adoption, implementation, and evaluation of algorithms. Phase 1, expert clinicians and researchers identified and agreed upon a specific cancer site. Group-consensus and literature reviews/syntheses were used to determine eligibility criteria to transition patients to survivorship care. Phase 2, reviews and approval processes were conducted by credentialing and regulatory committees to ensure adoption of the algorithms into clinical practice. Phase 3, pilot programs were conducted to implement the algorithm(s) in disease-specific survivorship clinics. Phase 4, metrics to evaluate progress included the number of algorithms and providers’ use of and adherence to the algorithms. Results: Between 09/2008 – 12/2011, nine multidisciplinary disease-specific survivorship clinics were operationalized. Thirty-seven practice algorithms were developed to provide survivorship care based on each survivor’s specific needs. The algorithms’ framework included: 1) surveillance for recurrent or new primary malignancies; 2) primary and secondary cancer prevention recommendations; 3) management of toxicities and latent treatment effects; and 4) assessment of psychosocial functioning. Conclusions: Practice algorithms provide an organized plan to deliver comprehensive and holistic care to long-term survivors. Given the projected increase in cancer survivors, further research is needed to determine how practice algorithms impact providers’ practice and survivors’ outcomes.