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Related Experiment Videos

An ECG storage and retrieval system embedded in client server HIS utilizing object-oriented DB

C Wang1, K Ohe, T Sakurai

  • 1Hospital Computer Center, University of Tokyo Hospital, Japan.

Journal of Medical Systems
|February 1, 1996
PubMed
Summary

This study introduces an enhanced electrocardiogram (ECG) system integrated into a hospital information system (HIS). It enables direct physician access to digitized ECG signals, improving data retrieval and clinical workflow.

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Area of Science:

  • Medical Informatics
  • Biomedical Engineering
  • Database Systems

Background:

  • The University of Tokyo Hospital implemented a client-server Hospital Information System (HIS) enabling physicians to order tests and view results.
  • Existing HIS lacked capabilities for direct handling of digitized medical signal, schema, and image data, including electrocardiogram (ECG) data.

Purpose of the Study:

  • To design and develop an Electrocardiogram (ECG) storage and retrieval system.
  • To integrate this system into the existing client-server HIS.
  • To enable physicians to directly access and view digitized ECG signals, waveforms, graphics, and images.

Main Methods:

  • Object-oriented analysis and design principles were applied.
  • An object-oriented database management system (OODMS) was utilized for data storage.

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  • The system was implemented using the C++ programming language.
  • Integration into the client-server HIS architecture.

    • Main Results:

    • A functional ECG storage and retrieval system was successfully developed and embedded within the HIS.
    • Physicians can now directly access and view digitized ECG data, including waves, graphics, and images.
    • The system represents a significant step in managing complex digitized medical data within a clinical setting.

    Conclusions:

    • The developed ECG system effectively addresses the need for handling digitized medical signal, schema, and image data.
    • Integration into the HIS enhances physician access to critical diagnostic information.
    • This advancement facilitates improved clinical practice through better data management and visualization.