Prioritization in the Emergency Department
When multiple patients present with urgent needs, the nurse must apply the principles of triage to determine the order of assessment. The core concept is to identify and address threats to life according to the ABC (Airway, Breathing, Circulation) framework. A patient with a compromised airway takes absolute priority over patients with breathing, circulatory, or other problems, regardless of the dramatic nature of other injuries. The systematic review protocol by Shankar et al. discusses how clinical decision support systems, including those driven by artificial intelligence, are designed to improve patient prioritization in the emergency department, a process fundamentally rooted in identifying the most immediate physiological threats
[1].
Analysis of Each Option
Option 1: The
45-year-old patient with chest pain radiating to the left arm, diaphoresis, and a blood pressure of
90/60 mmHg presents a classic picture of a possible acute myocardial infarction with cardiogenic shock. This is a critical circulatory (C) problem. The hypotension indicates that the heart's pumping ability is failing, leading to inadequate tissue perfusion. While this is a life-threatening emergency, a circulatory issue is addressed after securing the airway and ensuring adequate breathing. The machine learning model developed by Lee et al. aims to predict early deterioration in the emergency department by integrating data like vital signs and nursing notes to rank patients by risk, and a patient with this presentation would be flagged as a very high priority for circulatory collapse
[3].
Option 2: The
32-year-old patient with severe facial trauma making gurgling sounds has a clear and immediate airway (A) problem. The gurgling sound is a classic sign of a partially obstructed airway, likely due to blood, secretions, or structural damage from the trauma. An airway obstruction leads to hypoxia and death within minutes. The nurse's first and most critical action is to suction the airway, perform a jaw-thrust maneuver, and prepare for a definitive airway. This patient's airway compromise is the most time-sensitive threat to life among all the options. The scoping review by Souza et al. highlights that the primary goal of any triage system, whether human-driven or AI-supported, is to ensure clinical safety by rapidly identifying patients with such immediately life-threatening conditions .
Option 3: The
28-year-old patient with a compound fracture of the tibia, moderate bleeding, and severe pain has a musculoskeletal injury with a circulatory component. The "moderate" bleeding is a concern, but it is not described as a life-threatening arterial hemorrhage. This situation involves a disability and potential circulatory issue that can be managed after the airway and breathing problems are stabilized. Pain management and wound care are important but are lower priorities in the triage hierarchy. The qualitative analysis by Kalani et al. on surgical prioritization of abdominal trauma notes that clinicians integrate complex clinical reasoning beyond simple scoring tools, and this same reasoning applies here—a visible fracture and bleeding can seem dramatic but must be weighed against a silent, lethal airway obstruction .
Option 4: The
65-year-old patient with shortness of breath, an oxygen saturation of
88% on room air, and use of accessory muscles has a severe breathing (B) problem. The low oxygen saturation and increased work of breathing indicate significant respiratory distress and a failure of oxygenation. This patient requires immediate intervention, such as supplemental oxygen and respiratory support. However, in the ABC hierarchy, a breathing problem is assessed and managed after a complete airway obstruction. A patient who cannot move air at all (airway issue) will die before a patient who is breathing poorly but still has some air exchange
[1].
Clinical Reasoning and Triage Decision
The correct sequence of assessment is dictated by the severity and immediacy of the physiological threat. The patient with the gurgling airway (Option 2) is at risk of complete obstruction and rapid respiratory arrest. The patient with breathing difficulty (Option 4) has a critical oxygen deficit but a patent airway. The patient with cardiogenic shock (Option 1) has a failing pump but is currently moving air and oxygenating blood. The patient with the fracture (Option 3) has a localized injury without an immediate threat to the ABCs. Therefore, the nurse must first assess the patient whose airway is compromised, as this is the most time-critical intervention. This decision-making process is precisely what AI-driven triage tools are being designed to support—providing a risk-based prioritization that helps clinicians cut through the "noise" of a busy emergency department to identify the patient most likely to deteriorate without immediate action [3,4].
References (research sources)
- [1]
Emergency Nurses' Experiences With Artificial Intelligence-Driven Triage Clinical Decision Support Systems: A Protocol for a Systematic Review of Qualitative Studies.Meta-analysis/systematic reviewShankar R, Lim A, Xu Q. (2026) · DOI: 10.1016/j.jen.2026.05.010
- [3]
Validation of a machine learning model for predicting early deterioration in the emergency department.Research articleLee YR, Ruffolo I, Mashouri P, Brudno M, Ben-Yakov M. (2026) · DOI: 10.1016/j.ajem.2026.05.007