Philips Healthcare is committed to continuously improving their medical systems and services. Following the company mission, the Interventional X-Ray (iXR) unit within Philips Healthcare constantly enhances its products with new functionalities. The correctness, availability, and reliability, which are the top quality concerns of the products, should not be compromised by this increase in complexity. For this reason, there is a strong need to have detailed insights on the product behavior throughout the entire product lifecycle. The Automated Testing team developed an application named ProMise that analyzes event log data. However, it has several constraints that limit its usability: • It analyzes the event log files of only one iXR system family, Allura. • Its analysis result is used by the R&D department only • It is a poorly extendable and maintainable application. Implementing new requirements is a difficult and time consuming process because its implementation contains Allura knowledge. This report describes a new concept for the ProMise application that is composed of two Business Intelligence frameworks, Data Integration (DI) and Analysis Framework. The main goal of the project was to deliver a DI Framework that can be easily extended with new functionalities and medical systems.
|Qualification||Doctor of Philosophy|
|Award date||1 Jan 2013|
|Place of Publication||Eindhoven|
|Publication status||Published - 2013|