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Fitpit - fitness cockpit: Information system to optimize training schedules in rehabilitation

: Meister, Sven; Schafer, Sven; Stahlmann, Valentin; Wilking, Tim; Kandyba, Andriy

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21st European Conference on Information Systems, ECIS 2013. Proceedings : June 5-8, Utrecht University, The Netherlands
San Francisco: AIS Electronic Library, 2013
Paper 92
European Conference on Information Systems (ECIS) <21, 2013, Utrecht>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer ISST ()
telemedicine; CEP; machine learning; data mining; HL7

Optimal healthcare supply today requires the extensive usage of information and communication technologies (ICT) to reduce the emerging costs and to ensure high quality standards. With FitPit The Fitness Cockpit we are investigating concepts, methods and algorithms to implement an information system which will cope with the increasing problems in rehabilitation. Caused by the demographic change there is a growing number of patients with a need for rehabilitation. However, the success of a rehabilitative treatment depends mostly on the knowledge of the physiotherapist who prepares the training schedule. Caused by the increasing market demand, more unskilled staff will be employed. Therefore, FitPit will combine Machine Learning (ML), Data Mining (DM) and Complex Event Processing (CEP) tec hnologies to enable an automated generation of optimal training schedules, based upon former knowledge as well as on methods to monitor the patients health status. Using FitPit a rehabilitation centre will be capable to ensure high quality treatment. Within this paper well give a broad architectural overview with a brief description of the used technologies.