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Testing and validation of computerized decision support systems

R M Sailors1, T D East, C J Wallace

  • 1Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, USA.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1996
PubMed
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Thorough testing of decision support systems (DSSs) is crucial for ensuring reliable outputs. Implementing a robust, documented testing plan improves software quality and meets national and international standards.

Area of Science:

  • Software Engineering
  • Information Systems
  • Quality Assurance

Background:

  • High-quality software design necessitates rigorous testing of decision support systems (DSSs) before user release.
  • Inadequate testing can lead to reliance on systems with uncertain outputs, posing significant risks.
  • Current tools for DSS testing are underdeveloped, making the process labor-intensive and prone to human error.

Purpose of the Study:

  • To present a successful software design and testing plan for enhancing DSS quality.
  • To address the challenges of thorough DSS testing by standardizing methods.
  • To meet national and international quality standards through documented and systematic testing.

Main Methods:

  • Implementation of a comprehensive software design and testing plan.

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  • Inclusion of both functional and structural testing methodologies.
  • Integration of input from all development levels to ensure robust and complete testing.

    • Main Results:

    • Successful implementation of a plan for continuous improvement of DSS software quality.
    • Development of documented and standardized testing methods.
    • Focus on system robustness and completeness of testing, beyond basic design requirements.

    Conclusions:

    • A systematic and documented testing approach is vital for high-quality DSS.
    • Standardized testing methodologies, incorporating functional and structural aspects, improve software reliability.
    • Continuous improvement in DSS testing is achievable through a dedicated plan and multi-level development input.