Session Notes: Federal initiatives in Big Data offers the opportunity in dental/oral/craniofacial research to utilize information gathered for other purposes, such as large nationally representative surveys, claims data, and electronic health records to advance the research and practice of dentistry. The NIH and NIDCR are committed to big data research with initiatives like BD2K. CMS strongly encourages big data research using the data gathered for the provision of dental care to improve the care of vulnerable populations in the U.S. This session will provide attendees an overview of Big Data, highlight methodological issues such as ownership of data, sampling strategy, reliability and validity of different data, present examples of big data research, and highlight resources available for researchers interested in initiating big data programs. Panelists will describe the potential that data linkage between multiple data sets offers. For example, the linkage of an electronic dental with a medical record, including lab tests may bring the opportunity to visualize the persons health status and genetic information. The panel will discuss how big data research affects dental providers and how the addition of diagnostic coding could expand research possibilities. They will provide examples using existing data to design Medicaid policy and structure benefits, integrate electronic health records and billing systems, assess program and provider performance, and evaluate and control for fraud, waste and abuse within their programs. They will highlight opportunities and priority areas for innovation and research grants. Examples of successful big data research will be highlighted.
- By the end of this session, participants will be able to: Define big data and the strengths/limitations/opportunities.
- By the end of this session, participants will be able to: Identify available resources for big data research.
- By the end of this session, participants willbe able to: Understand science.