Information Logistics Solutions in Healthcare: From Data to Demand Fulfilling Information

Authors

  • Sven Meister Fraunhofer Institute for Software and Systems Engineering
  • Wolfgang Deiters Fraunhofer Institute for Software and Systems Engineering
  • Sven Schafer Fraunhofer Institute for Software and Systems Engineering
  • Valentin Stahlmann Fraunhofer Institute for Software and Systems Engineering

DOI:

https://doi.org/10.7250/csimq.2014-1.03

Keywords:

CEP, Telemedicine, Decision Support, Trend Recognition

Abstract

The extensive usage of information and communication technologies (ICT) within healthcare, like electronic health records, Ambient Assisted Living (AAL) and telemedicine, results in a continuously increasing amount of heterogeneous data. Data, on the one hand, is not tantamount to information on the other. Data has to be transformed into demand fulfilling information to cope with one of the biggest problems in information science: data and information overload. The objective of this paper is to introduce technologies like Complex Event Processing (CEP) to develop approaches to cope with the problem of information overload in healthcare according to the principles of Information Logistics (ILOG). We will present a solution that is called TiEE (Telemedical ILOG Event Engine) to process vital signs in real-time and aggregate them to relevant pattern, resulting in demand fulfilling information.

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Published

15.03.2014

How to Cite

Meister, S., Deiters, W., Schafer, S., & Stahlmann, V. (2014). Information Logistics Solutions in Healthcare: From Data to Demand Fulfilling Information. Complex Systems Informatics and Modeling Quarterly, 1, 42-56. https://doi.org/10.7250/csimq.2014-1.03