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Question

Difficulty: HardCausal Flaws and Confounding Variables

Passage:
A two-year study across thirty regional hospitals evaluated the implementation of an automated AI-driven triage system for emergency room admissions. Hospitals that adopted the system experienced a 25% reduction in average emergency room wait times compared to hospitals that retained manual triage protocols. Based on this correlation, health administrators concluded that the automated AI triage system was directly responsible for streamlining patient processing and reducing wait times.

Statement:
Evaluating whether the hospitals that adopted the AI triage system also increased their total emergency department nursing and administrative staffing during the study period addresses a potential confounding variable in the argument.

Is the statement above True or False?

Answer: Answer

Answer

True
The statement is True. In Critical Reasoning, a confounding variable is an alternate factor that systematically differs between comparison groups and could account for the observed outcome. If hospitals that implemented the AI triage system also hired additional nurses and staff, that staffing increase serves as a plausible alternative explanation for the 25% reduction in wait times. Therefore, evaluating whether staffing levels changed directly tests for a confounding variable.

Step-by-Step Solution

1
Analyze the passage's core causal argument.
Premise: Hospitals adopting an AI triage system saw a 25% drop in ER wait times compared to non-adopting hospitals. Conclusion: The AI triage system directly caused the reduction in wait times.
Identifying the premise-to-conclusion structure isolates the underlying causal claim.
2
Identify potential causal flaws and confounding variables.
The argument assumes that the introduction of the AI system was the only relevant operational difference between the adopting and non-adopting hospitals during the study period.
In observational studies, a confounding variable (a third variable that correlates with the cause and influences the outcome) offers an alternative explanation for the observed effect.
3
Evaluate the statement's impact on the argument.
Determining whether AI-adopting hospitals simultaneously expanded staffing tests for an unmeasured third variable (increased human staffing). If staffing increased in those hospitals, it provides a competing cause for the reduced wait times.
Investigating potential co-occurring factors directly evaluates the presence of a confounding variable, making the statement True.

Key Concept

Causal Flaws and Confounding Variables
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Topics

Causal Flaws and Confounding Variables

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