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

Why we do the things we do: applying clinical decision-making frameworks to triage practice.

M F Gerdtz1, T K Bucknall

  • 1School of Postgraduate Nursing, University of Melbourne, Victoria, Australia.

Accident and Emergency Nursing
|May 8, 1999
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

Using machine learning models to predict falls in hospitalised adults.

International journal of medical informatics·2024
Same author

Family experiences and perceptions of intensive care unit care and communication during the COVID-19 pandemic.

Australian critical care : official journal of the Confederation of Australian Critical Care Nurses·2022
Same author

Methodological approaches to measuring the incidence of unplanned emergency department presentations by cancer patients receiving systemic anti-cancer therapy: a systematic review.

BMC medical research methodology·2022
Same author

Predicting medical emergency team calls, cardiac arrest calls and re-admission after intensive care discharge: creation of a tool to identify at-risk patients.

Anaesthesia and intensive care·2018
Same author

Perceived differences in the management of mental health patients in remote and rural australia and strategies for improvement: findings from a national qualitative study of emergency clinicians.

Emergency medicine international·2011
Same author

A survey of psychiatrists' and registered nurses' levels of mental health literacy in a Chinese general hospital.

International nursing review·2011

This study examines clinical decision-making in emergency department nurse triage, highlighting the need for naturalistic research to improve patient care outcomes. Understanding decision autonomy and uncertainty is key to enhancing triage processes.

Area of Science:

  • Nursing Science
  • Clinical Decision Making
  • Health Services Research

Background:

  • Clinical decision making is complex, particularly in emergency departments.
  • Nurse triage involves critical judgments under pressure and uncertainty.
  • Existing literature provides varied perspectives on decision-making frameworks.

Purpose of the Study:

  • To review and synthesize major themes in clinical decision-making literature.
  • To connect these themes to the practice of emergency department nurse triage.
  • To identify research needs for improving triage processes and outcomes.

Main Methods:

  • Literature review of published research on clinical decision making.
  • Exploration of decision research approaches in nursing and medicine.

Related Experiment Videos

  • Analysis of triage scales, algorithms, and intuitive decision processes.
  • Main Results:

    • Key themes include decision autonomy and decision making under uncertainty.
    • Strengths and limitations of various decision-making approaches are outlined.
    • Current frameworks often do not fully capture the chaotic triage environment.

    Conclusions:

    • Naturalistic research methods are essential for understanding the triage environment.
    • Improved understanding can lead to better evaluation and outcomes of triage decisions.
    • Further research is needed to optimize emergency department nurse triage practices.