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A CORBA-based object framework with patient identification translation and dynamic linking. Methods for exchanging

C Wang1, K Ohe

  • 1Hospital Computer Center, University of Tokyo Hospital, Japan. wan@hcc.h.u-tokyo.ac.jp

Methods of Information in Medicine
|May 26, 1999
PubMed
Summary

This study introduces a novel patient identification (ID) translation model and dynamic linking method to overcome challenges in sharing patient data across different systems. These advancements facilitate seamless patient data integration and exchange between institutions.

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Area of Science:

  • Health Informatics
  • Computer Science

Background:

  • Exchanging and integrating patient data across diverse databases and institutions presents significant challenges.
  • Lack of universal patient identifiers complicates patient identification across systems.
  • Linking patient data across heterogeneous databases and institutional boundaries is a complex problem.

Purpose of the Study:

  • To develop and implement methods for accurate patient identification and data linking across disparate systems.
  • To address the challenges of patient data exchange and integration in a distributed environment.

Main Methods:

  • Developed a patient identification (ID) translation model using patient attribute matching and computer-based human checking.
  • Created a dynamic linking method based on temporal mapping within the Common Object Request Broker Architecture (CORBA) environment.

Related Experiment Videos

  • Implemented these methods into a CORBA-based object framework using distributed object computing technology.

    • Main Results:

    • Successfully built and tested a prototype CORBA-based object framework.
    • Demonstrated the effectiveness of the patient ID translation and dynamic linking methods through experiments.
    • Validated the system using a Web-based user interface.

    Conclusions:

    • The developed patient ID translation model and dynamic linking method are effective for patient data exchange and integration.
    • The CORBA-based framework facilitates overcoming barriers in cross-institutional patient data sharing.
    • These advancements are crucial for improving interoperability in healthcare systems.