Improving healthcare using cognitive computing based software: an application in emergency situation

  • Authors:

  • Roberto Revetria;Alessandro Catania;Lucia Cassettari;Guido Guizzi;Elpidio Romano;Teresa Murino;Giovanni Improta;Hamido Fujita

  • Affiliations:

  • Dipartimento di Ingegneria Meccanica, University og Genoa, Genoa, Italy;Dipartimento di Ingegneria Meccanica, University og Genoa, Genoa, Italy;Dipartimento di Ingegneria Meccanica, University og Genoa, Genoa, Italy;Dipartimento di Ingegneria dei Materiali e della Produzione, Univertisty of Naples "Federico II", Naples, Italy;Dipartimento di Ingegneria dei Materiali e della Produzione, Univertisty of Naples "Federico II", Naples, Italy;Dipartimento di Ingegneria dei Materiali e della Produzione, Univertisty of Naples "Federico II", Naples, Italy;Dipartimento di Scienze Mediche Preventive, University of Naples "Federico II", Naples, Italy;Intelligent Software Systems Laboratory, Iwate Prefectuarl University, Iwate-gun, Iwate, Japan

  • Venue:
  • IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
  • Year:
  • 2012

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Abstract

The goal of this paper is to define the platform specifications dealing with medical information sharing both from research viewpoint and in terms of local health care. The purpose of this research work is based on doctor - patient relationships: VDS - Virtual Medical Doctor System. At this stage the platform is only used for scientific purposes. In particular, we assume the integrated design of the platform based on different levels (layers), which may be interconnected through the information flows (or links). The first level (the lower) involves the construction of a VDS platform. Based on this system it is possible to foresee a number of extensions such as social network for scientific research design, and risk analysis tool.