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A time-and-value centric provenance model and architecture for medical event streams

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Daby SowAuthors Info & Claims

HealthNet '07: Proceedings of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments

Pages 95 - 100

https://doi.org/10.1145/1248054.1248082

Published: 11 June 2007 Publication History

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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.

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Cited By

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Yamada MKitagawa HShaikh SAmagasa TMatono A(2022)Streaming Augmented Lineage: Traceability of Complex Stream Data AnalysisInformation Integration and Web Intelligence10.1007/978-3-031-21047-1_20(224-236)Online publication date: 20-Nov-2022
https://doi.org/10.1007/978-3-031-21047-1_20
Palyvos-Giannas DHavers BPapatriantafilou MGulisano V(2021)AnankeProceedings of the VLDB Endowment10.14778/3430915.343092814:3(391-403)Online publication date: 9-Dec-2021
https://dl.acm.org/doi/10.14778/3430915.3430928
Sembay Mde Macedo DDutra M(2020)A Proposed Approach for Provenance Data GatheringMobile Networks and Applications10.1007/s11036-020-01648-726:1(304-318)Online publication date: 2-Sep-2020
https://doi.org/10.1007/s11036-020-01648-7
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Index Terms

A time-and-value centric provenance model and architecture for medical event streams
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems

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Published In

HealthNet '07: Proceedings of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments

June 2007

110 pages

ISBN:9781595937674

DOI:10.1145/1248054

General Chairs:
Robin Kravets
University of Illinois, Urbana Champaign, USA
,
Chiara Petrioli
Università degli Studi di Roma 'La Sapienza', Italy

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 11 June 2007

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Mobisys07: The Fifth International Conference on Mobile Systems, Applications, and Services

June 11, 2007

San Juan, Puerto Rico

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Yamada MKitagawa HShaikh SAmagasa TMatono A(2022)Streaming Augmented Lineage: Traceability of Complex Stream Data AnalysisInformation Integration and Web Intelligence10.1007/978-3-031-21047-1_20(224-236)Online publication date: 20-Nov-2022
https://doi.org/10.1007/978-3-031-21047-1_20
Palyvos-Giannas DHavers BPapatriantafilou MGulisano V(2021)AnankeProceedings of the VLDB Endowment10.14778/3430915.343092814:3(391-403)Online publication date: 9-Dec-2021
https://dl.acm.org/doi/10.14778/3430915.3430928
Sembay Mde Macedo DDutra M(2020)A Proposed Approach for Provenance Data GatheringMobile Networks and Applications10.1007/s11036-020-01648-726:1(304-318)Online publication date: 2-Sep-2020
https://doi.org/10.1007/s11036-020-01648-7
Sun QLiu YTian WGuo Y(2019)CF-PROV: A Content-Rich and Fine-Grained Scientific Workflow Provenance ModelIEEE Access10.1109/ACCESS.2019.29007387(30002-30016)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2900738
Palyvos-Giannas DGulisano VPapatriantafilou M(2019)GeneaLog: Fine-Grained Data Streaming Provenance in Cyber-Physical SystemsParallel Computing10.1016/j.parco.2019.102552(102552)Online publication date: Sep-2019
https://doi.org/10.1016/j.parco.2019.102552
Palyvos-Giannas DGulisano VPapatriantafilou MPierre GFerreira PShrira L(2018)GeneaLogProceedings of the 19th International Middleware Conference10.1145/3274808.3274826(227-238)Online publication date: 26-Nov-2018
https://dl.acm.org/doi/10.1145/3274808.3274826
Glavic BEsmaili KFischer PTatbul N(2014)Efficient Stream Provenance via Operator InstrumentationACM Transactions on Internet Technology10.1145/263368914:1(1-26)Online publication date: 7-Aug-2014
https://dl.acm.org/doi/10.1145/2633689
SYALIM ANISHIDE TSAKURAI K(2012)Securing Provenance of Distributed Processes in an Untrusted EnvironmentIEICE Transactions on Information and Systems10.1587/transinf.E95.D.1894E95.D:7(1894-1907)Online publication date: 2012
https://doi.org/10.1587/transinf.E95.D.1894
Sansrimahachai WWeal MMoreau L(2012)Stream ancestor function: A mechanism for fine-grained provenance in stream processing systems2012 Sixth International Conference on Research Challenges in Information Science (RCIS)10.1109/RCIS.2012.6240427(1-12)Online publication date: May-2012
https://doi.org/10.1109/RCIS.2012.6240427
De Pauw WLeţia MGedik BAndrade HFrenkiel APfeifer MSow D(2010)Visual debugging for stream processing applicationsProceedings of the First international conference on Runtime verification10.5555/1939399.1939403(18-35)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.5555/1939399.1939403
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Processing count queries over event streams at multiple time granularities

High frequency distributed data stream event correlation to improve neonatal clinical management

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