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Characterizing information needs and cognitive processes during CIS use.

Mark J Graham1, Leanne M Currie, Mureen Allen

  • 1Department of Biomedical Informatics, Columbia University, New York, NY, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
PubMed
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Understanding clinical information system (CIS) needs is crucial for reducing medical errors. This study systematically identified and categorized nurses

Area of Science:

  • Clinical Informatics
  • Human-Computer Interaction
  • Cognitive Science

Background:

  • Medical errors are frequently linked to cognitive processing deficits and poor information access.
  • Limited systematic research exists on the specific information needs of healthcare professionals using clinical information systems (CIS).

Purpose of the Study:

  • To systematically identify and define the in-context clinical information needs of nurses and physicians interacting with a CIS.
  • To develop a method for categorizing and coding these identified information needs.

Main Methods:

  • Collected 15.5 hours of observational data on nurse and physician CIS interactions across three distinct clinical settings (cardiac ICU, medical/surgical nursing, ambulatory clinic).
  • Employed cognitive-based methods, including 'thinking aloud' during system use, and video recording via a portable usability laboratory.

Related Experiment Videos

  • Developed a systematic approach for identifying, defining, categorizing, and coding in-context clinical information needs.

    • Main Results:

    • Established a systematic methodology to capture and analyze real-time information needs during CIS use.
    • Successfully identified and categorized various in-context clinical information needs encountered by healthcare professionals.

    Conclusions:

    • The developed systematic approach provides a framework for understanding critical information needs within CIS environments.
    • This research lays the groundwork for improving CIS design and usability to support clinical decision-making and reduce medical errors.