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From Data to Evidence: How NLP Advances Population Health and Precision Medicine

From Data to Evidence: How NLP Advances Population Health and Precision Medicine

IQVIA
Pages 9 Pages

Most healthcare data (~80 %) is unstructured; extracting insights from clinical notes and reports is crucial for precision medicine and population health. The paper says NLP combined with generative AI and LLMs can convert genomic, clinical and SDOH data into structured form for individual and population care. It highlights challenges of data volume, heterogeneity and multiple EHR systems and outlines NLP techniques such as semantic search and ontology‑based normalization to transform unstructured text into evidence.

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