A Time-and-Value Centric Provenance Model and Architecture for Medical Event Streams

• Main Authors: BlLOUNT, Marion, DAVIS, John, MISRA, Archan, SOW, Daby, WANG, Min
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: Provenance; data streams; medical sensors; Health Information Technology; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/682; https://ink.library.smu.edu.sg/context/sis_research/article/1681/viewcontent/p95_wang.pdf
• Institution: Singapore Management University

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.