ArticleJournal of medical Internet research2020
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.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and comparative evaluation to develop and validate a comprehensive framework for cancer surveillance systems.Archives of public health = Archives belges de sante publique · 2025Pooled it
- Is source data verification a valid tool to improve data quality of tumour documentation data? A critical assessment.Health information management : journal of the Health Information Management Association of Australia · 2026Article
- Surgery for Retroperitoneal Soft Tissue Sarcoma is Safe Following Multimodal Treatment with Regional Hyperthermia.Annals of surgical oncology · 2025Article
- Information and support for cancer patients and their relatives - evaluation of central contact point enquiries: a retrospective analysis.BMC health services research · 2025Article
- Supporting the decision to perform molecular profiling for cancer patients based on routinely collected data through the use of machine learning.Clinical and experimental medicine · 2024Article
- Early mortality in German patients with lung cancer: risk factors associated with 30-and 60-day mortality.Clinical and experimental medicine · 2023Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 and unknown by most of the clinicians at the sites.
objectiveTo 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.
methodsThe 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.
resultsA 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.
conclusionsThe 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.
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