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BigMouth: Development and maintenance of a successful dental data repository

  • Muhammad F. Walji
  • , Heiko Spallek
  • , Krishna Kumar Kookal
  • , Jane Barrow
  • , Britta Magnuson
  • , Tamanna Tiwari
  • , Udochukwu Oyoyo
  • , Michael Brandt
  • , Brian J. Howe
  • , Gary C. Anderson
  • , Joel M. White
  • , Elsbeth Kalenderian
  • University of Texas Health Science Center at Houston
  • The University of Sydney
  • Harvard University
  • Tufts University
  • University of Colorado Anschutz Medical Campus
  • Loma Linda University Health
  • SUNY Buffalo
  • University of Minnesota Twin Cities
  • University of California at San Francisco
  • University of Pretoria

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Few clinical datasets exist in dentistry to conduct secondary research. Hence, a novel dental data repository called BigMouth was developed, which has grown to include 11 academic institutions contributing Electronic Health Record data on over 4.5 million patients. The primary purpose for BigMouth is to serve as a high-quality resource for rapidly conducting oral health-related research. BigMouth allows for assessing the oral health status of a diverse US patient population; provides rationale and evidence for new oral health care delivery modes; and embraces the specific oral health research education mission. A data governance framework that encouraged data sharing while controlling contributed data was initially developed. This transformed over time into a mature framework, including a fee schedule for data requests and allowing access to researchers from noncontributing institutions. Adoption of BigMouth helps to foster new collaborations between clinical, epidemiological, statistical, and informatics experts and provides an additional venue for professional development.

Original languageEnglish
Pages (from-to)701-706
Number of pages6
JournalJournal of the American Medical Informatics Association
Volume29
Issue number4
DOIs
StatePublished - Apr 1 2022

Keywords

  • Research Patient Data Repositories
  • data governance
  • dentistry
  • learning healthcare system

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