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Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models

arXiv · AI, language, vision and robotics · article · Aug 30, 2026 · UTC

Introduction: NICE guidelines provide evidence-based recommendations for clinical care but remain largely in unstructured natural language. Existing approaches to converting them into computable representations often focus on individual diseases, require substantial manual encoding, and do not scale. Large language models (LLMs) may enable much of this translation to be automated. Methods: We present an end-to-end approach that converts textual clinical guidelines into executable models capable of generating explainable, patient-specific recommendations. A stepwise LLM-based transformation wit

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