Impact of big data on oral health outcomes

Abstract

Biomedical big data amasses from different sources such as electronic health records, health research, wearable devices and social media. Recent advances in data capturing, storage and analysis techniques have facilitated conversion of a wealth of knowledge in biomedical big data into evidence‐based actionable plans to enhance population health and well‐being. The delay in reaping the benefits of biomedical big data in dentistry is mainly due to the slow adoption of electronic health record systems, unstructured clinical records, tattered communication between data silos and perceiving oral health as a separate entity from general health. Recent recognition of the complex interplay between oral and general health has acknowledged the power of oral health big data to glean new insights on disease prevention and management. This review paper summarizes recent advances, limitations and challenges in biomedical big data in health care with emphasis on oral health and discusses the potential future applications of oral health big data to improve the quality and efficiency of personalized health care.

Unravelling the Potential of Salivary Volatile Metabolites in Oral Diseases. A Review

“…Traditionally, many researchers use the p-value as the main statistical tool in order to identify analytes whose variation is statistically significant [129][130][131][132]. However, this approach is extremely limited and often results in numerous false positives and negatives [133,134]. For this reason, multivariate statistical analysis (MVSA) became very popular to identify set of analytes that can be considered biomarkers of different pathologies [126][127][128]135].…”

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“…18,19 Collection of patient diagnosis and treatment progress data is considered valuable when it is done in a systematic way following interlinkable and coherent data standards that produce high-quality information. [17][18][19][20] Clinical data constitutes an essential resource for…”

“…data collected in clinical trials or nationwide surveys). 2,16,17 Current evolution of data capturing, storage and analytical methods will allow us to transform the wealth of knowledge in big data into actionable plans to overcome challenges in clinical decision, deliver personalized care and improve the population's health. 18,19 Collection of patient diagnosis and treatment progress data is considered valuable when it is done in a systematic way following interlinkable and coherent data standards that produce high-quality information.…”

Using big data to promote precision oral health in the context of a learning healthcare system

“…Combined information provides an opportunity to tailor treatment to the needs of the individual patient based on their risk factors. To successfully integrate precision medicine into oral healthcare, three major challenges must be addressed: development of up‐to‐date evidence‐based guidelines, integration of large analytical data sets, and translation of new knowledge into routine clinical care delivery . In the fields of dentistry and oral health, implementation of these factors represents a major obstacle to the delivery of precision oral medicine …”

“…To successfully integrate precision medicine into oral healthcare, three major challenges must be addressed: development of up-todate evidence-based guidelines, 2,3 integration of large analytical data sets, 4,5 and translation of new knowledge into routine clinical care delivery. 6,7 In the fields of dentistry and oral health, implementation of these factors represents a major obstacle to the delivery of precision oral medicine. 8 In recent years, oral health sciences called for a greater emphasis on evidence-based practice, especially as advances in the field of healthcare and medicine have accelerated.…”