通过人群健康数据策略转变神经科护理服务
Transforming Neurology Care Delivery Through a Population Health Data Strategy.
作者信息
Vigil Ines M, Sylvia Martha
机构信息
Clarify Health Solutions (IMV); and Medical University of South Carolina College of Nursing (MS).
出版信息
Neurol Clin Pract. 2024 Apr;14(2):e200248. doi: 10.1212/CPJ.0000000000200248. Epub 2024 Jan 12.
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.
背景
全球超过30%的数据来自医疗保健领域，要获得能改善健康状况的可用见解，就需要进行人群健康分析。在神经病学领域，由于数字健康记录和先进的分析方法，数据驱动的方法变得越来越重要。这一发展的一个重要方面是采用人群健康数据策略（PHDS）。
最新发现
为神经病学制定量身定制的PHDS涉及对涵盖人口统计学、临床病史、遗传学和社会决定因素的数据点和测量指标进行编目。神经病学的结果包括死亡率、功能和认知能力以及影像学结果。一个强大的策略依赖于互操作性、先进的分析方法和透明的人工智能算法。
总结
神经病学正在采用数据驱动的医疗保健方式。PHDS综合了各种患者数据以提供个性化护理。它包括广泛的结果测量指标以应对神经病学的复杂性。先进的分析方法以及神经病学家、数据科学家和商业领袖之间的合作揭示了隐藏的模式，并在21世纪推动了以结果为导向的医学发展。
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