Benjamin H. Kann

Jan 10, 2024 | nature.com | Shan Chen |Benjamin H. Kann

AbstractSocial determinants of health (SDoH) play a critical role in patient outcomes, yet their documentation is often missing or incomplete in the structured data of electronic health records (EHRs). Large language models (LLMs) could enable high-throughput extraction of SDoH from the EHR to support research and clinical care. However, class imbalance and data limitations present challenges for this sparsely documented yet critical information.

Aug 24, 2023 | jamanetwork.com | Shan Chen |Mass General Brigham |Benjamin H. Kann |Michael Foote

Large language models (LLMs) underlying chatbots1 can mimic human language and quickly return detailed and coherent-seeming responses. These properties can obscure that chatbots might provide inaccurate information. Because patients often use the internet for self-education,2 some will undoubtedly use LLM chatbots to find cancer-related medical information, which could be associated with the generation and amplification of misinformation.