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AI has the potential to revolutionize healthcare by addressing social determinants of health (SDoH) that impact health outcomes. By analyzing data related to income, education, and housing, AI can identify patterns and create targeted interventions. This holistic approach is essential for building a more equitable healthcare system.
AI technologies like Natural Language Processing (NLP) and predictive analytics are crucial in identifying at-risk populations and personalizing interventions. For instance, hospitals can use AI to flag patients facing food insecurity and connect them with local resources. The future of healthcare lies in leveraging AI to not only treat diseases but also to address the underlying social factors affecting health.
• AI can analyze social determinants of health to improve healthcare equity.
• Natural Language Processing helps extract unstructured data for better risk assessments.
NLP algorithms extract information from unstructured data, enhancing risk assessments in healthcare.
Predictive models analyze data to identify populations at risk of poor health outcomes.
SDoH refers to non-medical factors like income and education that influence health outcomes.
Elumina Health focuses on leveraging AI to improve clinical quality and patient outcomes.
This hospital uses AI to identify at-risk patients based on their social determinants of health.
Scientific Research Publishing 5month
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