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Evaluation of an object-based data model implemented over a proprietary, legacy data model

D L Pollard1, J W Hales

  • 1Division of Medical Informatics, Duke University Medical Center, Durham, NC, USA.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1995
PubMed
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This study introduces an object model for accessing legacy medical information systems, simplifying data retrieval. While improving ease of use, this approach resulted in a significant decrease in program execution speed.

Area of Science:

  • Computer Science
  • Medical Informatics

Background:

  • Legacy systems dominate current computerized medical information storage.
  • Transitioning to open systems is slow, necessitating continued use of legacy databases.
  • Valuable patient data resides within these older, often inaccessible, systems.

Purpose of the Study:

  • To evaluate an object model for enhancing data accessibility in legacy medical information systems.
  • To determine if an object model can decouple data retrieval from underlying database structures.
  • To assess the impact of an object model on programming effort and execution performance.

Main Methods:

  • An object-based data model was imposed on an existing legacy database.
  • Data retrieval capabilities were tested without requiring specific knowledge of the database structure.

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  • Application code was evaluated for modifications needed when underlying data structures changed.
  • Performance of programs developed using the object model was compared to traditionally coded programs.

    • Main Results:

    • Data elements were successfully retrieved without needing in-depth knowledge of the legacy database structure.
    • Underlying data structures could be modified without necessitating updates to application code.
    • Programs developed with the object model were easier to program.
    • Programs using the object model ran over ten times slower than traditionally coded programs.

    Conclusions:

    • An object model can improve data accessibility and flexibility in legacy medical information systems.
    • The trade-off for improved usability and flexibility is a significant performance cost.
    • Further research may explore optimizations to mitigate the performance degradation associated with object models in legacy systems.