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Field of Research : Information Systems
Research Topic : Service Utilization
Australian State/Territory : NSW
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Conceptual Modelling (2)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0347669

    Funder
    Australian Research Council
    Funding Amount
    $74,681.00
    Summary
    Semantic Compliance in Complex Enterprise Information Systems. Large organisations have invested heavily to reduce the number of dependent information systems they support. Larger integrated systems should provide increased information reach and better coordination of activities. However there are major problems in practice - integration requires common meaning and context. Information-sharing within cooperating organisations is improved by enforcing compliance of databases with a master model. .... Semantic Compliance in Complex Enterprise Information Systems. Large organisations have invested heavily to reduce the number of dependent information systems they support. Larger integrated systems should provide increased information reach and better coordination of activities. However there are major problems in practice - integration requires common meaning and context. Information-sharing within cooperating organisations is improved by enforcing compliance of databases with a master model. Our research refines, extends and tests an approach for semantic compliance checking based on mathematical category theory. It investigates structures that help detect irregular data. The research uses models from NSW Health. Outcomes include improved processes and software for checking compliance and data anomalies.
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    Funded Activity

    Linkage Projects - Grant ID: LP0454326

    Funder
    Australian Research Council
    Funding Amount
    $70,668.00
    Summary
    Invoking consistency of meaning in data integration and extraction for Electronic Health Records. Many governments want to implement an Electronic Health Record. Such a Record is a summary of events in an individual's medical history derived from diverse medical databases. Only some summaries are relevant to any medical condition. This project is to address these converse issues of data integration and extraction. Summaries must have variable structure according to event, and must be consistentl .... Invoking consistency of meaning in data integration and extraction for Electronic Health Records. Many governments want to implement an Electronic Health Record. Such a Record is a summary of events in an individual's medical history derived from diverse medical databases. Only some summaries are relevant to any medical condition. This project is to address these converse issues of data integration and extraction. Summaries must have variable structure according to event, and must be consistently drawn from datasets which have consistent meaning. We will extend a formal mathematical approach successfully developed for checking conformity of databases. NSW Health Department is partnering us, because the outcomes represent a step toward a practical Electronic Health Record.
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