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Extracting TNFi Switching Reasons and Trajectories From Real-World Data Using Large Language Models

2025-04-16 health informatics Title + abstract only
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ImportanceTumor necrosis factor inhibitors (TNFi) are widely used for auto-immune conditions. Despite their efficacy, many patients switch TNFis due to lack of efficacy, cost-related reasons, or adverse events. Understanding why switches occur is important, but requires extensive chart review. ObjectiveTo determine whether large language models (LLMs) can automatically perform chart review, accurately identifying TNFi switching trajectories and reasons for switching in a large real-world cohort...

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