Navigating Provenance Information for Distributed Healthcare Management

  • Authors:
  • Vikas Deora;Arnaud Contes;Omer F. Rana;Shrija Rajbhandari;Ian Wootten;Kifor Tamas;Laszlo Z. Varga

  • Affiliations:
  • Cardiff University, UK;Cardiff University, UK;Cardiff University, UK;Cardiff University, UK;Cardiff University, UK;Computer and Automation Research Institute, Hungary;Computer and Automation Research Institute, Hungary

  • Venue:
  • WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
  • Year:
  • 2006

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Abstract

Provenance information provides a useful basis to verify whether a particular application behavior has been adhered to. This is particularly useful to evaluate the basis for a particular outcome, as a result of a process, and to verify if the process involved in making the decision conforms to some pre-defined set of rules. This is significant in a healthcare scenario, where it is necessary to demonstrate that patient data has been processed in a particular way. Understanding how provenance information may be recorded, stored, and subsequently analyzed by a decision maker is therefore significant in a service oriented architecture, which involves the use of third party services over which the decision maker does not have control. The aggregation of data from multiple sources of patient information plays an important part in subsequent treatments that are proposed for a patient. A tool to navigate through and analyze such provenance information is proposed, based on the use of a portal framework that allows different views on provenance information to co-exist. The portal enables users to add custom portlets enabling application specific views that would facilitate particular decision making.