Benchmark Self-Triage (BeST): Comparing Self-Triage Systems and Multiple Generations of OpenAI Models Against Preliminary Expert Consensus

As digital self-triage becomes more widely used, quality assurance requires evaluation of both emergency recognition and overall agreement with clinical judgement, including how these outcomes differ across generations of large language models. The Benchmark Self-Triage (BeST) project intends to provide a framework to compare systems for digital self-triage against a medical 'gold standard' in Germany. In a first step developing the method and demonstrating its potential we developed a representative set of patient vignettes and compared two regulated medical-device triage systems, SmED and In

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