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Related Experiment Videos

A framework for analyzing the cognitive complexity of computer-assisted clinical ordering.

Jan Horsky1, David R Kaufman, Michael I Oppenheim

  • 1Laboratory of Decision Making and Cognition, Department of Biomedical Informatics, Columbia University, 622 West 168th Street, New York, NY 10032, USA. horsky@dbmi.columbia.edu

Journal of Biomedical Informatics
|October 14, 2003
PubMed
Summary

Computer-assisted provider order entry systems can increase cognitive load. This study used the distributed resources model to show how system design impacts user performance and ordering errors in clinicians.

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Area of Science:

  • Medical Informatics
  • Human-Computer Interaction
  • Cognitive Science

Background:

  • Computer-assisted provider order entry (CPOE) systems aim to streamline medical ordering and minimize errors.
  • Evaluating the cognitive demands of these systems is crucial for effective implementation and user support.

Purpose of the Study:

  • To present a cognitive methodology for characterizing the demands of medical information systems.
  • To apply the distributed resources (DR) model to analyze user interface complexity and its impact on CPOE system performance.

Main Methods:

  • Expert walkthrough evaluation of a commercial CPOE system.
  • Simulated clinical ordering tasks performed by seven clinicians.
  • Application of the DR model to assess resource distribution and its relation to user performance and errors.

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Main Results:

  • The CPOE system's resource configuration imposed significant cognitive demands on users.
  • Users lacking a strong conceptual model of the system experienced greater difficulty.
  • The DR model helped explain variations in user performance, interactive strategies, and error patterns.

Conclusions:

  • Interface design and resource allocation in CPOE systems can lead to unnecessary cognitive complexity.
  • Understanding cognitive demands is essential for improving CPOE usability.
  • Implications for clinician training and interface design in the medical domain are discussed.