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Researchers from Mass General Brigham, reporting in npj Digital Medicine, detail their development of a generative artificial intelligence (AI) that can identify social determinants of health (SDoH) from a doctor’s notes. The new model, developed using a large language model (LLM), the finely tuned tool identified 93.8% of patients with an adverse SDoH. This compares with only two percent of diagnostic codes including SDoH information and the new model also demonstrated it was less prone to bias when compared with generalist models such as GPT-4.
The researchers say the new tool can help meet the goal of seamlessly identifying more patients who can benefit from other health support resources and social work support, while also shining a spotlight on the under-documented impact of SDoH on so many patients.