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A study from researchers at Mass General Brigham examined the potential of large language models to extract social determinants of health from EHRs and improve real-world evidence. The study appeared in npj Digital Medicine.
Despite their significance, social determinants often face underdocumentation in structured EHR data, hindering comprehensive research and clinical care. Commonly found in free-text clinic notes, incorporating these critical factors into research databases poses a challenge, creating a bottleneck in understanding the impact of social determinants on health outcomes, according to the researchers.