An AI framework developed by Nashville, Tenn.-based Vanderbilt University identified statin intolerance, contraindications and patient deferrals documented in clinical notes for 10% of adult patients.
Researchers processed 197,761 clinical notes from 47,192 adult patients using a three-part framework that included a rule-based natural language processing filter with 100% sensitivity, a large language model refinement filter with 97.3% specificity and an LLM-based multicategory classifier, according to a Feb. 9 university news release.
The tool flagged statin intolerance in 6.4% of patients, contraindications in 0.7% and deferrals in 2.9%, according to the study published Jan. 1 in the International Journal of Medical Informatics. The AI tool was highly accurate in identifying statin intolerance and performed well in spotting contraindications and cases in which patients declined treatment.
The post Vanderbilt AI tool finds statin barriers in clinical notes appeared first on Becker's Hospital Review | Healthcare News & Analysis.
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