Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2007
Abstract
Provenance becomes a critical requirement for healthcare IT infrastructures, especially when pervasive biomedical sensors act as a source of raw medical streams for large-scale, automated clinical decision support systems. Medical and legal requirements will make it obligatory for such systems to answer queries regarding the underlying data samples from which output alerts are derived, the IDs of the processing components used and the privileges of the individuals and software components accessing the medical data. Unfortunately, existing models of either annotation or process based provenance are designed for transaction-oriented systems and do not satisfy the unique requirements for systems processing high-volume, continuous medical streams. This paper proposes a simple, but useful, hybrid provenance model called Time-Value Centric (TVC) provenance.
Keywords
Provenance, data streams, medical sensors
Discipline
Health Information Technology | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
HealthNet '07: Proceedings of the 1st ACM SIGMOBILE International Workshop on Systems and Networking Support for Healthcare and Assisted Living Environments, San Juan, Puerto Rico, June 11
First Page
95
Last Page
100
ISBN
9781595937674
Identifier
10.1145/1248054.1248082
Publisher
ACM
City or Country
New York
Citation
BlLOUNT, Marion; DAVIS, John; MISRA, Archan; SOW, Daby; and WANG, Min.
A Time-and-Value Centric Provenance Model and Architecture for Medical Event Streams. (2007). HealthNet '07: Proceedings of the 1st ACM SIGMOBILE International Workshop on Systems and Networking Support for Healthcare and Assisted Living Environments, San Juan, Puerto Rico, June 11. 95-100.
Available at: https://ink.library.smu.edu.sg/sis_research/682
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/1248054.1248082