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Related Experiment Videos

Automated anesthesia surgery medical record system.

J S Gage1, S Subramanian, J F Dydro

  • 1Department of Anesthesiology, State University of New York, Stony Brook 11794.

International Journal of Clinical Monitoring and Computing
|January 1, 1990
PubMed
Summary

Automated physiological data recording systems improve medical record reliability in anesthesia and intensive care. This system integrates bedside device data, enhancing patient care documentation and legal standards.

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Area of Science:

  • Biomedical Engineering
  • Medical Informatics
  • Health Information Systems

Background:

  • Manual recording of physiological data often fails to meet medical and legal documentation standards in critical care settings.
  • Automated data recording offers a solution for generating reliable patient information for medical records.

Purpose of the Study:

  • To describe an automated system for recording physiological data from bedside medical devices.
  • To highlight the system's architecture and its integration capabilities for improved patient data management.

Main Methods:

  • Connecting bedside medical devices (e.g., pulse oximeters, blood pressure monitors) from operating rooms and an Anesthesia Intensive Care Unit to an Ethernet system.
  • Utilizing a MicroVAX computer system for data storage and a graphical microcomputer workstation for data processing, interpretation, and analysis.

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  • Ensuring the system architecture aligns with emerging standards for medical device data exchange.

    • Main Results:

    • A functional automated recording system is operational at University Hospital at Stony Brook.
    • The system successfully collects and processes physiological data from multiple sources.
    • The architecture supports data integration and analysis, conforming to industry standards.

    Conclusions:

    • Automated physiological data recording enhances the reliability and integration of patient data into medical records.
    • This system has the potential to significantly benefit both healthcare providers and patients through improved data management.
    • The implemented architecture adheres to emerging standards for seamless information exchange in critical care environments.