Self-Organizing Networked Systems


Medical Information Systems

Collaborative knowledge in big communities (known as Wisdom of the crowds) and self-organization of huge amounts of networked participants have shown a lot of potential in various fields of computer science and information systems. Still, there are many scenarios, in particular in highly professional applications, where a critical mass of users (experts) is not available to safely create this knowledge. In several scenarios a top down model providing generally agreed domain knowledge can be used as common ground for communication. However, for other scenarios, diversity in terms of interest, motivation, information need, and many other characteristics prevent top down approaches, for which an à-priori-consensus between participating members must be found.

Within this project we focus on small and medium sized groups of people, who have common interests but are too diverse for applying a commonly agreed model and who are bound to use multimedia systems to satisfy their needs. Further, we consider these people being experts with intense domain knowledge, such as medical doctors.

Based on the CODE-MM Lakeside Labs project, which is conducted in addition to an ongoing applied research project funded directly by our project partner, we aim at consolidating and fostering basic and applied research competence in multimedia information systems for medical scenarios. If successful, a number of exciting scientific and economic opportunities will unfold. Long term goal is the establishment of a center of expertise in this field - at least partially funded by our partner - or of a new company dedicated to industry-oriented development and research and world-wide delivery of software tools for medical multimedia information systems.