Trial by Algorithm: Who Gets Care When AI Triage Sets the Rules
In hospitals around the world, triage has long been the most human of judgments. A nurse in an emergency department glances at a patient, listens to their breath, weighs symptoms against instinct and experience. Decisions are made in seconds, and those decisions often determine survival.
Now, increasingly, algorithms are stepping into that role. Machine learning models can parse vast datasets of vitals, lab values, and historical outcomes in milliseconds. Advocates argue that AI-driven triage reduces bias, speeds up intake, and frees clinicians for higher-level care. In pilot programs from London to Lagos, early results suggest improved throughput and fewer missed critical cases.
Yet moving from pilot to policy is not merely a technical step—it is an ethical threshold. The question is not simply can algorithms triage effectively? but should they be entrusted with choices that are, at their core, moral judgments?
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