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Updated: Jun 23, 2026

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm
06:35

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm

Published on: April 28, 2016

A methodology for eliciting and modeling exceptions.

Mor Peleg1, Judith Somekh, Dov Dori

  • 1Department of Management Information Systems, University of Haifa, 31905, Israel.

Journal of Biomedical Informatics
|May 16, 2009
PubMed
Summary
This summary is machine-generated.

Addressing exceptions in safety-critical systems is crucial. This study introduces a conceptual model and methodology for identifying and modeling exceptions in systems, using clinical care as a case study.

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Last Updated: Jun 23, 2026

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm
06:35

Examining Recall Memory in Infancy and Early Childhood Using the Elicited Imitation Paradigm

Published on: April 28, 2016

Area of Science:

  • Systems Engineering
  • Software Engineering
  • Clinical Informatics

Background:

  • Safety-critical systems require rigorous exception handling during design and risk analysis.
  • Existing methodologies may not adequately address the complexities of exceptions in dynamic environments.
  • Effective modeling of exceptions is vital for ensuring system reliability and safety.

Purpose of the Study:

  • To develop a conceptual model and methodology for eliciting and modeling exceptions in safety-critical systems.
  • To adapt the Object-Process Methodology (OPM) for comprehensive exception modeling.
  • To demonstrate the practical application of the developed approach in clinical care systems.

Main Methods:

  • Developed a conceptual model for exceptions.
  • Created a methodology for exception elicitation and modeling.
  • Extended the Object-Process Methodology (OPM) with templates for exception modeling.
  • Applied the methodology to an antibiotics treatment guideline case study.

Main Results:

  • Successfully elicited and modeled exceptions within a clinical care system context.
  • Demonstrated the effectiveness of the extended OPM for representing timing exceptions.
  • Validated the conceptual model and methodology through a practical case study.

Conclusions:

  • The developed conceptual model and methodology provide a structured approach to exception handling in safety-critical systems.
  • The extended OPM is effective for modeling complex exceptions, including timing variations.
  • This approach enhances the safety and reliability of clinical care systems by addressing potential exceptions early in the design phase.