BigMouth: A multi-institutional dental data repository

Muhammad F. Walji; Elsbeth Kalenderian; Paul C. Stark; Joel M. White; Krishna K. Kookal; Dat Phan; Duong Tran; Elmer V. Bernstam; Rachel Ramoni

doi:10.1136/amiajnl-2013-002230

BigMouth: A multi-institutional dental data repository

Muhammad F. Walji, Elsbeth Kalenderian, Paul C. Stark, Joel M. White, Krishna K. Kookal, Dat Phan, Duong Tran, Elmer V. Bernstam, Rachel Ramoni

Epidemiology and Health Promotion

Research output: Contribution to journal › Article › peer-review

Abstract

Few oral health databases are available for research and the advancement of evidence-based dentistry. In this work we developed a centralized data repository derived from electronic health records (EHRs) at four dental schools participating in the Consortium of Oral Health Research and Informatics. A multi-stakeholder committee developed a data governance framework that encouraged data sharing while allowing control of contributed data. We adopted the i2b2 data warehousing platform and mapped data from each institution to a common reference terminology. We realized that dental EHRs urgently need to adopt common terminologies. While all used the same treatment code set, only three of the four sites used a common diagnostic terminology, and there were wide discrepancies in how medical and dental histories were documented. BigMouth was successfully launched in August 2012 with data on 1.1 million patients, and made available to users at the contributing institutions.

Original language	English (US)
Pages (from-to)	1136-1140
Number of pages	5
Journal	Journal of the American Medical Informatics Association
Volume	21
Issue number	6
DOIs	https://doi.org/10.1136/amiajnl-2013-002230
State	Published - Jul 3 2014

ASJC Scopus subject areas

Health Informatics

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10.1136/amiajnl-2013-002230

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title = "BigMouth: A multi-institutional dental data repository",

abstract = "Few oral health databases are available for research and the advancement of evidence-based dentistry. In this work we developed a centralized data repository derived from electronic health records (EHRs) at four dental schools participating in the Consortium of Oral Health Research and Informatics. A multi-stakeholder committee developed a data governance framework that encouraged data sharing while allowing control of contributed data. We adopted the i2b2 data warehousing platform and mapped data from each institution to a common reference terminology. We realized that dental EHRs urgently need to adopt common terminologies. While all used the same treatment code set, only three of the four sites used a common diagnostic terminology, and there were wide discrepancies in how medical and dental histories were documented. BigMouth was successfully launched in August 2012 with data on 1.1 million patients, and made available to users at the contributing institutions.",

author = "Walji, {Muhammad F.} and Elsbeth Kalenderian and Stark, {Paul C.} and White, {Joel M.} and Kookal, {Krishna K.} and Dat Phan and Duong Tran and Bernstam, {Elmer V.} and Rachel Ramoni",

note = "Funding Information: This research was supported in part by the following grants: NLM grant G08LM010075, NCATS grant UL1 TR000371, NCRR/NCATS RC1 RR028254 and NSF grant III 0964613. Funding Information: Funding This research was supported in part by the following grants: NLM grant G08LM010075, NCATS grant UL1 TR000371, NCRR/NCATS RC1 RR028254 and NSF grant III 0964613.",

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doi = "10.1136/amiajnl-2013-002230",

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AU - Kookal, Krishna K.

AU - Phan, Dat

AU - Tran, Duong

AU - Bernstam, Elmer V.

AU - Ramoni, Rachel

N1 - Funding Information: This research was supported in part by the following grants: NLM grant G08LM010075, NCATS grant UL1 TR000371, NCRR/NCATS RC1 RR028254 and NSF grant III 0964613. Funding Information: Funding This research was supported in part by the following grants: NLM grant G08LM010075, NCATS grant UL1 TR000371, NCRR/NCATS RC1 RR028254 and NSF grant III 0964613.

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N2 - Few oral health databases are available for research and the advancement of evidence-based dentistry. In this work we developed a centralized data repository derived from electronic health records (EHRs) at four dental schools participating in the Consortium of Oral Health Research and Informatics. A multi-stakeholder committee developed a data governance framework that encouraged data sharing while allowing control of contributed data. We adopted the i2b2 data warehousing platform and mapped data from each institution to a common reference terminology. We realized that dental EHRs urgently need to adopt common terminologies. While all used the same treatment code set, only three of the four sites used a common diagnostic terminology, and there were wide discrepancies in how medical and dental histories were documented. BigMouth was successfully launched in August 2012 with data on 1.1 million patients, and made available to users at the contributing institutions.

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BigMouth: A multi-institutional dental data repository

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