Aims: The treatment of prostate cancer is frequently influenced by the Partin Tables. This predictive model has been internally and externally validated since it was conceived, and has proved to be remarkably reliable andconsistent. This paper proposes that, by using the statistical programme for the social sciences (SPSS) and receiver-operator characteristic curves, it is possible to detect institutions that apply this model sub-optimally. Materials and methods: This theory was supported by a PUBMED search using relevant search words. Results: This is a novel technique with the potential to allow retrospective and prospective accrual of results. Conclusions: A systematic institutional review of how accurately a hospital assesses the clinical stage, Gleason score and PSA has the potential to increase an institution's predictive accuracy when it uses the Partin Tables. The proposed method allows for quantitation of the level of error and comparison of predictive accuracy between institutions. It also may be used as an internal outcome measure to assess improvement in a hospital's investigative procedures over time. (Topical Term)