Optimizing the Analytical Value of Oncology-Related Data Based on an In-Memory Analysis Layer: Development and Assessment of the Munich Online Comprehensive Cancer Analysis Platform

• Main Authors: Nasseh, Daniel (Author), Schneiderbauer, Sophie (Author), Lange, Michael (Author), Schweizer, Diana (Author), Heinemann, Volker (Author), Belka, Claus (Author), Cadenovic, Ranko (Author), Buysse, Laurence (Author), Erickson, Nicole (Author), Mueller, Michael (Author), Kortuem, Karsten (Author), Niyazi, Maximilian (Author), Marschner, Sebastian (Author), Fey, Theres (Author)
• Format: Book
• Published: JMIR Publications, 2020-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundMany comprehensive cancer centers incorporate tumor documentation software supplying structured information from the associated centers' oncology patients for internal and external audit purposes. However, much of the documentation data included in these systems often remain unused an...