A Collaboration Tool Based on SNOCAP-HET

  • Authors:
  • Martin Kohlmann;Matthias Gietzelt;Nico Jähne-Raden;Michael Marschollek;Bianying Song;Klaus-Hendrik Wolf;Reinhold Haux

  • Affiliations:
  • Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig --- Institute of Technology and Hannover Medical School, Braunschweig, Germany;Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig --- Institute of Technology and Hannover Medical School, Braunschweig, Germany;Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig --- Institute of Technology and Hannover Medical School, Braunschweig, Germany;Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig --- Institute of Technology and Hannover Medical School, Braunschweig, Germany;Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig --- Institute of Technology and Hannover Medical School, Braunschweig, Germany;Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig --- Institute of Technology and Hannover Medical School, Braunschweig, Germany;Peter L. Reichertz Institute for Medical Informatics, University of Braunschweig --- Institute of Technology and Hannover Medical School, Braunschweig, Germany

  • Venue:
  • Journal of Medical Systems
  • Year:
  • 2014

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Abstract

Health enabling technologies and ambient assisted living are important fields in biomedical informatics. In this context, a huge variety of analysis methods are applied. Neither is a suitable structuring of these methods available, nor is an aid known for selecting appropriate methods for a given set of data specifying a context and a problem. The goal of the present paper is to present a prototype of a semantic collaboration tool which is based on the Systematic Nomenclature for Contexts, Analysis Methods and Problems in Health-Enabling Technologies (SNOCAP-HET). This tool can be seen as a first step towards an assistance system for decision support within SNOCAP-HET. We present aspects of the selection and modeling process of our tool and discuss its benefits and appealing tasks for further research. Moreover we present a number of already planned and some unspecified upcoming steps which should optimize SNOCAP-HET in the future.