This study aims to explore the feasibility of using medical large language models to assist in chronic disease management. By setting up experimental and control group interventions and having experts blindly evaluate anonymized cases, it compares different management approaches in chronic disease care, verifying the scientific basis, effectiveness, and potential for broader use of medical large language models in supporting chronic disease management.
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Exclusion Criteria:
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Primary care doctors creating management plans for chronic diseases (coronary heart disease, atrial fibrillation, heart failure, stroke) with the help of large medical language models
Primary care doctors creating management plans for chronic diseases (coronary heart disease, atrial fibrillation, heart failure, stroke) without the help of a large medical language model
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