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Development of a user-defined surgical database using a personal computer network

A G Bottini1, J G Priest, R Murray

  • 1Department of Surgery, Tripler Army Medical Center, Honolulu, Hawaii 96859-5000.

Military Medicine
|August 1, 1994
PubMed
Summary
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A new networked personal computer database system streamlines surgical scheduling and patient data management. This technology improves efficiency, accuracy, and resource allocation while reducing physician data entry burden.

Area of Science:

  • Medical Informatics
  • Health Information Systems
  • Clinical Data Management

Background:

  • Personal computer advancements enable sophisticated patient data handling in clinical settings.
  • Effective operative scheduling and data analysis are crucial for hospital efficiency and quality improvement.

Purpose of the Study:

  • To develop and implement a multi-user, networked personal computer database system for operative scheduling and data management.
  • To improve the efficiency and accuracy of managing surgical operations and associated patient information.

Main Methods:

  • A distributed database system was created using networked personal computers.
  • Customized data entry programs were developed by clinicians for each surgical service.
  • A telephone-line network facilitated central data contribution for daily scheduling.

Related Experiment Videos

  • Operating room data was integrated into a preoperative database to create an operative log.

    • Main Results:

    • The system successfully facilitated operative scheduling and the collection/analysis of operative data.
    • Improved efficiency and accuracy in operative scheduling and information management were achieved.
    • The burden of data collection was significantly reduced for physicians.
    • Widespread data availability supported quality improvement initiatives and resource management.

    Conclusions:

    • Networked personal computer databases offer a powerful solution for clinical information management.
    • The developed system enhanced operational efficiency, data accuracy, and physician workflow.
    • This approach supports robust quality improvement programs and effective resource allocation in healthcare settings.