TY  - JOUR
AU  - Nasseh, Daniel
AU  - Schneiderbauer, Sophie
AU  - Lange, Michael
AU  - Schweizer, Diana
AU  - Heinemann, Volker
AU  - Belka, Claus
AU  - Cadenovic, Ranko
AU  - Buysse, Laurence
AU  - Erickson, Nicole
AU  - Mueller, Michael
AU  - Kortuem, Karsten
AU  - Niyazi, Maximilian
AU  - Marschner, Sebastian
AU  - Fey, Theres
PY  - 2020
DA  - 2020/4/17
TI  - 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
JO  - J Med Internet Res
SP  - e16533
VL  - 22
IS  - 4
KW  - oncology
KW  - database management systems
KW  - data visualization
KW  - usability
AB  - Background: Many 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 and unknown by most of the clinicians at the sites. Objective: To improve access to such data for analytical purposes, a prerollout of an analysis layer based on the business intelligence software QlikView was implemented. This software allows for the real-time analysis and inspection of oncology-related data. The system is meant to increase access to the data while simultaneously providing tools for user-friendly real-time analytics. Methods: The system combines in-memory capabilities (based on QlikView software) with innovative techniques that compress the complexity of the data, consequently improving its readability as well as its accessibility for designated end users. Aside from the technical and conceptual components, the software’s implementation necessitated a complex system of permission and governance. Results: A continuously running system including daily updates with a user-friendly Web interface and real-time usage was established. This paper introduces its main components and major design ideas.  A commented video summarizing and presenting the work can be found within the Multimedia Appendix. Conclusions: The system has been well-received by a focus group of physicians within an initial prerollout. Aside from improving data transparency, the system’s main benefits are its quality and process control capabilities, knowledge discovery, and hypothesis generation. Limitations such as run time, governance, or misinterpretation of data are considered. 
SN  - 1438-8871
UR  - https://www.jmir.org/2020/4/e16533
UR  - https://doi.org/10.2196/16533
UR  - http://www.ncbi.nlm.nih.gov/pubmed/32077858
DO  - 10.2196/16533
ID  - info:doi/10.2196/16533
ER  -