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
| Autor: | Nicole Erickson, Michael Lange, Karsten Kortuem, Ranko Cadenovic, Theres Fey, Volker Heinemann, Maximilian Niyazi, Daniel Nasseh, Claus Belka, Sophie Schneiderbauer, Laurence Buysse, Sebastian Marschner, Michael Mueller, Diana Schweizer |
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| Rok vydání: | 2020 |
| Předmět: |
database management systems
020205 medical informatics Computer science Health Informatics 02 engineering and technology lcsh:Computer applications to medicine. Medical informatics Medical Oncology Documentation Software Data visualization Knowledge extraction 020204 information systems 0202 electrical engineering electronic engineering information engineering data visualization Humans Original Paper Internet business.industry End user lcsh:Public aspects of medicine lcsh:RA1-1270 Usability usability Analytics oncology Business intelligence lcsh:R858-859.7 Software engineering business |
| Zdroj: | Journal of Medical Internet Research Journal of Medical Internet Research, Vol 22, Iss 4, p e16533 (2020) |
| ISSN: | 1438-8871 |
| DOI: | 10.2196/16533 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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