Causal dependencies of provenance data in healthcare environment

Ma, Taotao and Yong, Jianming and Wang, Hua and Zhao, Yueai (2015) Causal dependencies of provenance data in healthcare environment. In: 19th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2015), 06-08 May 2015, Calabria, Italy.


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.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: All rights reserved. Copyright ©2015 IEEE. Abstracting is permitted with credit to the source.
Faculty/School / Institute/Centre: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 27 Jun 2016 03:42
Last Modified: 13 Feb 2017 02:28
Uncontrolled Keywords: provenance; causal dependencies; security; access control
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified
Identification Number or DOI: 10.1109/CSCWD.2015.7231033

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