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Ethical Dilemmas II01:30

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Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
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Related Experiment Video

Updated: Jun 25, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

Concordance between an artificial intelligence self-triage programme and physical triage.

Maaike Wempe1,2, Frits Holleman3, Michiel Schinkel3,4

  • 1Amsterdam UMC location VUmc, Faculty of Medicine, Vrije Universiteit Amsterdam, Amsterdam, Noord-Holland, Netherlands m.m.w.wempe@amsterdamumc.nl.

Emergency Medicine Journal : EMJ
|June 23, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) self-triage showed slight agreement with the Dutch National Triage Standard (NTS), classifying more serious cases appropriately. Further validation is needed before AI triage implementation in healthcare.

Keywords:
Artificial Intelligenceemergency departmenttriage

Related Experiment Videos

Last Updated: Jun 25, 2026

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

Area of Science:

  • Emergency Medicine
  • Health Informatics
  • Artificial Intelligence in Healthcare

Background:

  • The Dutch National Triage Standard (NTS) is the established method for emergency department (ED) patient classification.
  • Artificial intelligence (AI) self-triage programs offer a potential alternative for initial patient assessment.
  • Evaluating the concordance between AI and standard triage methods is crucial for safe implementation.

Purpose of the Study:

  • To assess the agreement between the Dutch National Triage Standard (NTS) and an AI self-triage program.
  • To compare the urgency classification and clinical outcomes between the two triage methods.

Main Methods:

  • An observational comparative study was conducted in two hospital EDs.
  • 203 adult patients were included, comparing NTS triage with AI self-triage.
  • Cohen's kappa and per cent agreement were used to evaluate concordance.

Main Results:

  • Agreement between NTS and AI triage was none to slight (ĸ=0.092).
  • AI overtriaged 12.8% and undertriaged 5.4% of patients compared to NTS.
  • AI triage identified more serious cases (S1/S2) than NTS (U1/U2).

Conclusions:

  • AI triage demonstrated greater distinctiveness in urgency classification concerning clinical sequelae.
  • AI triage identified more serious cases appropriately compared to NTS.
  • Refinements and validation are necessary for AI triage program implementation in healthcare systems.