Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA.
Department of Neurosurgery, Geisinger Health System, Wilkes-Barre, Pennsylvania, USA.
World Neurosurg. 2020 Jan;133:e842-e849. doi: 10.1016/j.wneu.2019.09.092. Epub 2019 Sep 25.
Modern science and healthcare generate vast amounts of data, and, coupled with the increasingly inexpensive and accessible computing, a tremendous opportunity exists to use these data to improve care. A better understanding of data science and its relationship to neurosurgical practice will be increasingly important as we transition into this modern "big data" era.
A review of the literature was performed for key articles referencing big data for neurosurgical care or related topics.
In the present report, we first defined the nature and scope of data science from a technical perspective. We then discussed its relationship to the modern neurosurgical practice, highlighting key references, which might form a useful introductory reading list.
Numerous challenges exist going forward; however, organized neurosurgery has an important role in fostering and facilitating these efforts to merge data science with neurosurgical practice.
现代科学和医疗保健产生了大量的数据,再加上计算成本的不断降低和获取的日益便捷,我们有机会利用这些数据来改善医疗服务。随着我们进入这个现代的“大数据”时代,更好地理解数据科学及其与神经外科学实践的关系将变得越来越重要。
对引用大数据进行神经外科护理或相关主题的关键文章进行了文献回顾。
在本报告中,我们首先从技术角度定义了数据科学的性质和范围。然后,我们讨论了它与现代神经外科学实践的关系,突出了关键参考文献,这些参考文献可以形成一个有用的入门阅读清单。
未来存在许多挑战;然而,规范化神经外科学在促进和推动这些将数据科学与神经外科学实践相结合的努力方面具有重要作用。