Document Type
Article
Publication Date
1-6-2020
Publication Title
Journal of Public Health Dentistry
First page number:
543
Last page number:
558
Abstract
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.
Keywords
Precision health; Big data; Learning health system; Public health dentistry
Disciplines
Dental Public Health and Education
File Format
File Size
764 KB
Language
English
Rights
IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Repository Citation
Finkelstein, J.,
Zhang, F.,
Levitin, S. A.,
Cappelli, D.
(2020).
Using Big Data to Promote Precision Oral Health in the Context of a Learning Healthcare System.
Journal of Public Health Dentistry
543-558.
http://dx.doi.org/10.1111/jphd.12354