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Related Experiment Videos

A COSTAR interface using WWW technology

U Rabbani, M Morgan, O Barnett

    Proceedings. AMIA Symposium
    |February 3, 1999
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a middle layer service model to integrate legacy non-relational medical record systems, like COSTAR, with modern technologies. A World-Wide Web interface was successfully piloted, improving data access for healthcare providers.

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    Area of Science:

    • Medical Informatics
    • Health IT Integration
    • Database Management

    Background:

    • Modern technology integration is challenging for legacy non-relational and proprietary medical databases.
    • Existing interfaces for these systems are often keyboard-intensive and time-consuming for users.
    • COSTAR, a 25-year-old ambulatory medical record system, remains in widespread use at Massachusetts General Hospital.

    Purpose of the Study:

    • To develop a model for accessing data from non-relational databases using middle layer services.
    • To create an intuitive World-Wide Web interface for the COSTAR system.
    • To improve the integration of legacy medical record systems with contemporary technologies.

    Main Methods:

    • Defined a middle layer service model for data extraction and caching.

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  • Developed a World-Wide Web interface for the COSTAR legacy system.
  • Implemented and piloted the model within a clinical setting.

    • Main Results:

    • Successfully extracted and cached data from the non-relational COSTAR database.
    • An intuitive World-Wide Web interface was created and tested.
    • The system was successfully piloted at Internal Medicine Associates, Massachusetts General Hospital.

    Conclusions:

    • The middle layer service model effectively facilitates data access from legacy non-relational medical records.
    • The World-Wide Web interface provides an intuitive and efficient way to interact with COSTAR data.
    • This approach enhances the usability and integration potential of widely used, older healthcare IT systems.