Applying provenance in distributed organ transplant management

  • Authors:

  • Sergio Álvarez;Javier Vázquez-Salceda;Tamás Kifor;László Z. Varga;Steven Willmott

  • Affiliations:

  • Knowledge Engineering and Machine Learning Group, Universitat Politècnica de Catalunya, Barcelona, Spain;Knowledge Engineering and Machine Learning Group, Universitat Politècnica de Catalunya, Barcelona, Spain;Computer and Automation Research Institute, Budapest, Hungary;Computer and Automation Research Institute, Budapest, Hungary;Knowledge Engineering and Machine Learning Group, Universitat Politècnica de Catalunya, Barcelona, Spain

  • Venue:
  • IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
  • Year:
  • 2006

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Abstract

The use of ICT solutions applied to Healthcare in distributed scenarios should not only provide improvements in the distributed processes and services they are targeted to assist but also provide ways to trace all the meaningful events and decisions taken in such distributed scenario. Provenance is an innovative way to trace such events and decisions in Distributed Health Care Systems, by providing ways to recover the origin of the collected data from the patients and/or the medical processes. Here we present a work in progress to apply provenance in the domain of distributed organ transplant management.