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Integrated clinical decision support using an object-oriented database management system

R D Frost1, M L Gillenson

  • 1Management Information Systems Department, Central Connecticut State University, New Britain.

Methods of Information in Medicine
|April 1, 1993
PubMed
Summary
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This study introduces an integrated clinical decision support system built entirely within an object-oriented database. This approach enhances diagnostic capabilities, alerts, and patient data management, overcoming limitations of ad hoc systems.

Area of Science:

  • Computer Science
  • Medical Informatics
  • Database Systems

Background:

  • Clinical decision support systems (CDSS) often focus on diagnosis, alerts, or patient data management individually.
  • Existing CDSS are frequently developed using ad hoc methods, leading to fragmented functionality.
  • There is a need for integrated CDSS that efficiently manage diverse clinical information.

Purpose of the Study:

  • To develop a technique for creating an integrated CDSS within a general-purpose object-oriented database management system (OODBMS).
  • To address the limitations of existing CDSS by providing a unified platform for diagnosis, alerting, and patient data management.
  • To leverage the capabilities of OODBMS for enhanced clinical decision support.

Main Methods:

  • Developed an integrated CDSS technique entirely within an OODBMS.

Related Experiment Videos

  • Utilized encapsulated methods for diagnostic and alerting functionalities.
  • Employed a novel application of the OODBMS class-hierarchy structure for advanced features.
  • Leveraged standard OODBMS data management for patient data handling.

    • Main Results:

    • Successfully created an integrated CDSS within an OODBMS.
    • Demonstrated the capability to manage diagnosis, alerts, and patient data within a single system.
    • Showcased the effectiveness of encapsulated methods and class-hierarchy structures for CDSS functions.
    • Validated the use of OODBMS for comprehensive clinical data management.

    Conclusions:

    • An integrated CDSS can be effectively developed within a general-purpose OODBMS.
    • Object-oriented database technology offers a robust framework for unified clinical decision support.
    • This approach overcomes the fragmentation issues common in traditional, ad hoc CDSS development.