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Clinical element models in the SHARPn consortium
Author(s) -
Thomas A. Oniki,
Ning Zhuo,
Calvin E Beebe,
Hongfang Liu,
Joseph F. Coyle,
Craig G. Parker,
Harold R. Solbrig,
Kyle Marchant,
Vinod C. Kaggal,
Christopher G. Chute,
Stanley M. Huff
Publication year - 2015
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/ocv134
Subject(s) - computer science , terminology , normalization (sociology) , scalability , software engineering , data science , systems engineering , database , engineering , philosophy , linguistics , sociology , anthropology
The objective of the Strategic Health IT Advanced Research Project area four (SHARPn) was to develop open-source tools that could be used for the normalization of electronic health record (EHR) data for secondary use--specifically, for high throughput phenotyping. We describe the role of Intermountain Healthcare's Clinical Element Models ([CEMs] Intermountain Healthcare Health Services, Inc, Salt Lake City, Utah) as normalization "targets" within the project.

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