Transforming Neurology Care Delivery Through a Population Health Data Strategy
- PMID: 38585437
- PMCID: PMC10996910
- DOI: 10.1212/CPJ.0000000000200248
Transforming Neurology Care Delivery Through a Population Health Data Strategy
Abstract
Background: With more than 30% of global data originating from health care, deriving usable insights that improve health requires population health analytics. In neurology, data-driven approaches have grown in significance because of digital health records and advanced analytics. A vital aspect of this evolution is adopting a population health data strategy (PHDS).
Recent findings: Crafting a tailored PHDS for neurology involves cataloging data points and measures spanning demographics, clinical history, genetics, and social determinants. Neurologic outcomes include mortality rates, functional and cognitive abilities, and imaging results. A robust strategy relies on interoperability, advanced analytics, and transparent AI algorithms.
Summary: Neurology is embracing data-driven health care. The PHDS synthesizes diverse patient data to provide personalized care. It includes a wide range of outcome measures to address neurologic complexities. Advanced analytics and collaboration among neurologists, data scientists, and business leaders uncover hidden patterns and promote outcome-driven medicine in the 21st century.
© 2024 American Academy of Neurology.
Conflict of interest statement
The authors report no relevant disclosures. Full disclosure form information provided by the authors is available with the full text of this article at Neurology.org/cp.
References
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- Sylvia M, Vigil IM. Population Health Analytics, 1st ed. Jones & Bartlett Learning; 2022.
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