Published September 1, 2022 | Version 1.0

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

  • 1. University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Urology, Uro-Oncology and robot assisted surgery
  • 2. University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf
  • 3. University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of General, Visceral, Cancer and Transplantation Surgery

Description

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. 

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