Validation and implementation of a mobile app decision support system for quality assurance of tumor boards. Analyzing the concordance rates for prostate cancer from a multidisciplinary tumor board of a University Cancer Center

The data set contains anonymized clinicopathologic data of patients with prostate cancer. The data was used to determine concordance rates between recommendations proposed by the digital decision support system EasyOncology and actual treatment recommendations given by a tumor board.