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Data logistics as a means of integration in healthcare applications

Published: 13 March 2005 Publication History

Abstract

Information integration is still a crucial issue in healthcare applications. Most clinical applications are determined by a huge variety of heterogeneous and independent work places, most of them equipped with specialized clinical hardware. Due to this it is almost impossible -- at least not feasible -- to run a common database system storing all relevant data of a clinical application. Nevertheless these clinical applications have to share their data. Our solution to this integration problem is to facilitate so called Process based Data Logistics. This approach is based on the integration capabilities of process management; however it does not coordinate the staff working in the healthcare domain in a restricting sense, but coordinates data sources and data sinks of these applications.

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Cited By

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  • (2021)Automatic Ontology-Based Model Evolution for Learning Changes in Dynamic EnvironmentsApplied Sciences10.3390/app11221077011:22(10770)Online publication date: 15-Nov-2021
  • (2007)Ontology-based data integration in data logistics workflowsProceedings of the 2007 conference on Advances in conceptual modeling: foundations and applications10.5555/1784542.1784550(34-43)Online publication date: 5-Nov-2007
  • (2007)Process-Oriented Knowledge Support in a Clinical Research SettingProceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems10.1109/CBMS.2007.88(524-529)Online publication date: 20-Jun-2007
  • Show More Cited By

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    cover image ACM Conferences
    SAC '05: Proceedings of the 2005 ACM symposium on Applied computing
    March 2005
    1814 pages
    ISBN:1581139640
    DOI:10.1145/1066677
    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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    Publication History

    Published: 13 March 2005

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    Author Tags

    1. data logistics
    2. integration
    3. process
    4. process management
    5. workflow

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    SAC05: The 2005 ACM Symposium on Applied Computing
    March 13 - 17, 2005
    New Mexico, Santa Fe

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    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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    Cited By

    View all
    • (2021)Automatic Ontology-Based Model Evolution for Learning Changes in Dynamic EnvironmentsApplied Sciences10.3390/app11221077011:22(10770)Online publication date: 15-Nov-2021
    • (2007)Ontology-based data integration in data logistics workflowsProceedings of the 2007 conference on Advances in conceptual modeling: foundations and applications10.5555/1784542.1784550(34-43)Online publication date: 5-Nov-2007
    • (2007)Process-Oriented Knowledge Support in a Clinical Research SettingProceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems10.1109/CBMS.2007.88(524-529)Online publication date: 20-Jun-2007
    • (2007)Ontology-Based Data Integration in Data Logistics WorkflowsAdvances in Conceptual Modeling – Foundations and Applications10.1007/978-3-540-76292-8_5(34-43)Online publication date: 2007
    • (2005)Building a generic platform for medical screening applications based on domain specific modeling and process orientationProceedings of the Second international conference on Data Integration in the Life Sciences10.1007/11530084_20(257-265)Online publication date: 20-Jul-2005

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