Using big data to promote precision oral health in the context of a learning healthcare system
Using big data to promote precision oral health in the context of a learning healthcare system
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DOI：
10.1111/jphd.12354
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发表时间：
2020-01-06
影响因子：
2.3
通讯作者：
Cappelli, David
中科院分区：
文献类型：
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作者：
Finkelstein, Joseph;Zhang, Frederick;Cappelli, David
人们一直呼吁制定循证口腔保健指南，以提高牙科和口腔保健服务的精确性。实现这一目标的主要挑战是目前缺乏最新证据，综合分析数据集有限，以及向常规护理提供的转化缓慢。克服这些问题需要基于大数据和健康分析的知识发现管道，智能综合信息学方法和学习健康系统。本文探讨了如何利用大数据来实现这一目标。这些数据可以从四个主要流中收集：患者，临床数据，生物数据和规范数据集。所有这些都必须统一地结合起来进行分析和建模，并且有意义的发现可以在临床上实施。通过执行数据采集周期并整合随后的发现，从业人员能够改善公共口腔健康和护理服务。
There has been a call for evidence-based oral healthcare guidelines, to improve precision dentistry and oral healthcare delivery. The main challenges to this goal are the current lack of up-to-date evidence, the limited integrative analytical data sets, and the slow translations to routine care delivery. Overcoming these issues requires knowledge discovery pipelines based on big data and health analytics, intelligent integrative informatics approaches, and learning health systems. This article examines how this can be accomplished by utilizing big data. These data can be gathered from four major streams: patients, clinical data, biological data, and normative data sets. All these must then be uniformly combined for analysis and modelling and the meaningful findings can be implemented clinically. By executing data capture cycles and integrating the subsequent findings, practitioners are able to improve public oral health and care delivery.