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The aim of this master’s thesis is the design and implementation of a dedicated software system, for planning and implementation of occupational therapy intervention and research studies, in a driving simulator environment. In the first part, the concept based on user requirements is presented. It consists of architectural patterns and guidelines with the main focus on utility and application security. The result of this part is the design of a web application which supports integration in a clinical as well as a research environment. The second part presents the reference implementation of the previously introduced concept. It was developed under a case study in a research facility which hosts a driving simulator. A close cooperation and the influence the researcher’s experience led into a product which provides advanced usability for the target users. In conclusion, the thesis validated the concept indirectly under a testing phase of the reference implementation. It provides the base for a follow-up project to refine the software product and extend the concept to different fields of application.
The Greifswald University Hospital in Germany conducts a research project called "Greifswald Approach to Individualized Medicine (GANI_MED)", which aims at improving patient care through personalized medicine. As a result of this project, there are multiple regional patient cohorts set up for different common diseases. The collected data of these cohorts will act as a resource for epidemiological research. Researchers are going to get the possibility to use this data for their study, by utilizing a variety of different descriptive metadata attributes. The actual medical datasets of the patients are integrated from multiple clinical information systems and medical devices. Yet, at this point in the process of defining a research query, researchers do not have proper tools to query for existing patient data. There are no tools available which offer a metadata catalogue that is linked to observational data, which would allow convenient research. Instead, researchers have to issue an application for selected variables that fit the conditions of their study, and wait for the results. That leaves the researchers not knowing in advance, whether there are enough (or any) patients fitting the specified inclusion and exclusion criteria. The "Informatics for Integrating Biology and the Bedside (i2b2)" framework has been assessed and implemented as a prototypical evaluation instance for solving this issue. i2b2 will be set up at the Institute for Community Medicine (ICM) at Greifswald, in order to act as a preliminary query tool for researchers. As a result, the development of a research data import routine and customizations of the i2b2 webclient were successfully performed. An important part of the solution is, that the metadata import can adapt to changes in the metadata. New metadata items can be added without changing the import program. The results of this work are discussed and a further outlook is described in this thesis.