Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Expert nurses' clinical reasoning under uncertainty: representation, structure, and process.

M E Fonteyn1, S J Grobe

  • 1School of Nursing, University of San Francisco.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1992
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Nursing Informatics: State of the Science.

Yearbook of medical informatics·2016
Same author

The construct of thriving in pregnancy and postpartum.

Nursing science quarterly·2002
Same author

Teaching advanced practice nursing students how to use the Internet to support an evidence-based clinical practice.

AACN clinical issues·2002
Same author

Describing the work of nursing: the case of postsurgical nursing interventions for men with prostate cancer.

Research in nursing & health·1999
Same author

Nursing terminology: a comparison of the ICNP and the nursing intervention lexicon and taxonomy.

Studies in health technology and informatics·1999
Same author

Clinical data for use in assessing quality: lessons learned from the Texas Nurses' Association Report Card Project.

Seminars for nurse managers·1999
Same journal

Intelligent monitor for an anesthesia breathing circuit.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

Design considerations for intelligent data entry: development of MedIO.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

Medical information retrieval and WWW browsers at Mayo.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

A model of clinical query management that supports integration of biomedical information over the World Wide Web.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

Automated MeSH indexing of the World-Wide Web.

Proceedings. Symposium on Computer Applications in Medical Care·1995
Same journal

Teaching literature searching in the context of the World Wide Web.

Proceedings. Symposium on Computer Applications in Medical Care·1995
See all related articles

Expert nurses use specific reasoning and problem-solving strategies when planning care for high-risk patients with uncertain outcomes. This study reveals their decision-making processes for critical care scenarios.

Area of Science:

  • Nursing
  • Clinical Decision-Making
  • Critical Care

Background:

  • Understanding expert nurses' reasoning is crucial for improving patient care in uncertain situations.
  • Critical care settings present complex challenges requiring advanced clinical decision-making skills.

Observation:

  • A case study of a critically ill elderly patient was presented to ten expert critical care nurses.
  • The think-aloud method was employed to capture the nurses' knowledge, reasoning, and problem-solving strategies.
  • Verbatim transcripts were systematically analyzed to ensure credibility and traceability of findings.

Findings:

  • Experts represented patient problems dynamically during their reasoning process.
  • Nurses structured their care plans methodically, utilizing specific reasoning processes and heuristics.

Related Experiment Videos

  • Strategies focused on resolving patient issues and preventing clinical deterioration were identified.
  • Implications:

    • The findings offer insights into the cognitive processes underlying expert nursing care.
    • This knowledge can inform the development of training programs for critical care nurses.
    • Understanding these strategies may enhance clinical decision-making and patient outcomes in critical care.