Causal dependencies of provenance data in healthcare environment
Paper
Paper/Presentation Title | Causal dependencies of provenance data in healthcare environment |
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Presentation Type | Paper |
Authors | Ma, Taotao (Author), Yong, Jianming (Author), Wang, Hua (Author) and Zhao, Yueai (Author) |
Editors | Fortino, Giancarlo, Shen, Weiming, Barthes, Jean-Paul, Luo, Junzhou, Li, Wenfeng, Ochoa, Sergio, Abel, Marie-Helene, Guerrieri, Antonio and Ramos, Milton |
Journal or Proceedings Title | Proceedings of the 2015 19th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD) |
ERA Conference ID | 43280 |
Number of Pages | 6 |
Year | 2015 |
ISBN | 9781479920020 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/CSCWD.2015.7231033 |
Conference/Event | 19th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2015) |
International Conference on Computer Supported Cooperative Work in Design | |
Event Details | International Conference on Computer Supported Cooperative Work in Design CSCWD Rank B B B B B B B B B B B |
Event Details | 19th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2015) Event Date 06 to end of 08 May 2015 Event Location Calabria, Italy |
Abstract | Open Provenance Model (OPM) is a provenance model that can capture provenance data in terms of causal dependencies among the provenance data model components. Causal dependencies are relationships between an event (the cause) and a second event (the effect), where the second event is understood as a physical consequence of the first. Causal dependencies can represent a set of entities that are necessary and sufficient to explain the presence of another entity. A provenance model is able to describe the provenance of any data at an abstract layer, but does not explicitly capture causal dependencies that are a vital challenge since the lacks of the relations in OPM, especially in healthcare environment. In this paper, we analyse the causal dependencies between entities in a medical workflow system with OPM graphs. |
Keywords | provenance; causal dependencies; security; access control |
ANZSRC Field of Research 2020 | 460999. Information systems not elsewhere classified |
Public Notes | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Institution of Origin | University of Southern Queensland |
Byline Affiliations | University of Hebei, China |
School of Management and Enterprise | |
Victoria University | |
Taiyuan Normal University, China |
https://research.usq.edu.au/item/q3455/causal-dependencies-of-provenance-data-in-healthcare-environment
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