An efficient approach for surveillance of childhood diabetes by type derived from electronic health record data: the SEARCH for Diabetes in Youth Study | Zendy

Victor W. Zhong | Zendy; Jihad S. Obeid | Zendy; Jean B. Craig | Zendy; Emily Pfaff | Zendy; Joan Thomas | Zendy; Lindsay M. Jaacks | Zendy; Daniel P. Beavers | Zendy; Timothy S. Carey | Zendy; Jean M. Lawrence | Zendy; Dana Dabelea | Zendy; Richard F. Hamman | Zendy; Deborah Bowlby | Zendy; Catherine Pihoker | Zendy; Sharon Saydah | Zendy; Elizabeth J. MayerDavis | Zendy

Open Access

An efficient approach for surveillance of childhood diabetes by type derived from electronic health record data: the SEARCH for Diabetes in Youth Study

Author(s) -

Victor W. Zhong,

Jihad S. Obeid,

Jean B. Craig,

Emily Pfaff,

Joan Thomas,

Lindsay M. Jaacks,

Daniel P. Beavers,

Timothy S. Carey,

Jean M. Lawrence,

Dana Dabelea,

Richard F. Hamman,

Deborah Bowlby,

Catherine Pihoker,

Sharon Saydah,

Elizabeth J. MayerDavis

Publication year - 2016

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocv207

Subject(s) - type 2 diabetes , electronic health record , health records , type 1 diabetes , diabetes mellitus , medicine , computer science , data science , health care , political science , endocrinology , law

To develop an efficient surveillance approach for childhood diabetes by type across 2 large US health care systems, using phenotyping algorithms derived from electronic health record (EHR) data.

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