Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus | Zendy

Susan E. Spratt | Zendy; Katherine Pereira | Zendy; Bradi B. Granger | Zendy; Bryan C. Batch | Zendy; Matthew Phelan | Zendy; Michael Pencina | Zendy; Marie Lynn Miranda | Zendy; L. Ebony Boulware | Zendy; Joseph E. Lucas | Zendy; Charlotte Nelson | Zendy; Benjamin Neely | Zendy; Benjamin A. Goldstein | Zendy; Pamela Barth | Zendy; Rachel Richesson | Zendy; Isaretta Riley | Zendy; Leonor Corsino | Zendy; Eugenia McPeek Hinz | Zendy; Shelley A. Rusincovitch | Zendy; Jennifer Green | Zendy; Anna Beth Barton | Zendy; the DDC Phenotype Group | Zendy; Carly E. Kelley | Zendy; Kristen A. Hyland | Zendy; Mónica Tang | Zendy; Amanda Elliott | Zendy; Ewa Ruel | Zendy; Alexander M. Clark | Zendy; Melanie Mabrey | Zendy; Kay Lyn Morrissey | Zendy; Jyothi Rao | Zendy; Beatrice D. Hong | Zendy; Marjorie Pierre-Louis | Zendy; Katherine Patterson Kelly | Zendy; Nicole Jelesoff | Zendy

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Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus

Author(s) -

Susan E. Spratt,

Katherine Pereira,

Bradi B. Granger,

Bryan C. Batch,

Matthew Phelan,

Michael Pencina,

Marie Lynn Miranda,

L. Ebony Boulware,

Joseph E. Lucas,

Charlotte Nelson,

Benjamin Neely,

Benjamin A. Goldstein,

Pamela Barth,

Rachel Richesson,

Isaretta Riley,

Leonor Corsino,

Eugenia McPeek Hinz,

Shelley A. Rusincovitch,

Jennifer Green,

Anna Beth Barton,

the DDC Phenotype Group,

Carly E. Kelley,

Kristen A. Hyland,

Mónica Tang,

Amanda Elliott,

Ewa Ruel,

Alexander M. Clark,

Melanie Mabrey,

Kay Lyn Morrissey,

Jyothi Rao,

Beatrice D. Hong,

Marjorie Pierre-Louis,

Katherine Patterson Kelly,

Nicole Jelesoff

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/ocw123

Subject(s) - gold standard (test) , electronic health record , diabetes mellitus , medicine , phenotype , health records , biology , genetics , endocrinology , health care , economic growth , gene , economics

We assessed the sensitivity and specificity of 8 electronic health record (EHR)-based phenotypes for diabetes mellitus against gold-standard American Diabetes Association (ADA) diagnostic criteria via chart review by clinical experts.

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