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Generative artificial intelligence (GenAI) is revolutionizing healthcare, particularly in identifying social determinants of health (SDOH). Researchers at Mass General Brigham demonstrated that trained large language models (LLMs) could identify 93.8% of patients needing attention based on SDOH, compared to just 2% using traditional diagnostic codes. While the potential benefits are significant, the healthcare sector must navigate the risks associated with AI's unrestrained use.
Despite its advantages, AI in healthcare is not without flaws, including the risk of producing hallucinations due to inadequate training data. The reliance on patient-supplied information can lead to inaccuracies, necessitating the integration of external datasets for a more comprehensive understanding of health equity. A cautious and measured approach is essential to ensure that AI enhances healthcare without exacerbating existing disparities.
• AI can identify social determinants of health with high accuracy.
• Flawed data can lead to significant risks in healthcare AI applications.
GenAI is transforming healthcare operations, particularly in administrative tasks and clinical work.
SDOH are critical factors that influence healthcare outcomes and can be identified using AI.
Hallucinations occur when AI models produce incorrect or fabricated information due to poor data.
Socially Determined focuses on understanding social determinants of health to improve healthcare outcomes.
Mass General Brigham conducts research using AI to enhance the identification of health-related social factors.
OpenAI develops AI technologies, including ChatGPT, which can produce erroneous information if not properly managed.
The American Journal of Managed Care 16month
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