As part of the development of a computerized clinical decision support system for anemia management in cancer patients, we applied psychometric principles and techniques to assess the accuracy of the algorithmic operationalizations of a set of evidence-based practice guidelines. In an iterative rating process, five medical and nursing experts rated 27 algorithmic sets derived from 18 guidelines, the objective being an intraclass coefficient (ICC) exceeding 0.90. The first round of review yielded an ICC of 1.00 for 22 sets. After revision and resubmission to the expert panel, an ICC of 1.00 was obtained for the additional five sets. The evolving decision support system is based on algorithms that accurately specify evidence-based guidelines for anemia management in cancer patients.