Mining Unstructured Patient Data for Successful Population Health Management

10 Pages

The paper explains that value‑based payment models require comprehensive population insights. About 80 % of clinical data—including social determinants and lifestyle details—is locked in unstructured EHR notes. By combining structured data with NLP‑extracted information, providers and payers can stratify risk, implement preventive programmes and coordinate care. The authors argue that advanced NLP and big‑data tools are essential for holistic population health management and success under pay‑for‑value models.

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Mining Unstructured Patient Data for Successful Population Health Management

Mining Unstructured Patient Data for Successful Population Health Management

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