Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: The SHARPn project

Journal of Biomedical Informatics

Volumn 45, Issue 4, 2012, Pages 763-771

  Rea, Susan ^a   Pathak, Jyotishman ^b   Savova, Guergana ^c   Oniki, Thomas A ^d   Westberg, Les ^e   Beebe, Calvin E ^b   Tao, Cui ^b   Parker, Craig G ^a   Haug, Peter J ^a,f   Huff, Stanley M ^d,f   Chute, Christopher G ^b  

^a Intermountain Healthcare   (United States)

^b MAYO CLINIC   (United States)

^c BOSTON CHILDREN S HOSPITAL   (United States)

^d INTERMOUNTAIN MEDICAL CENTER   (United States)

^e Agilex Technologies Inc   (United States)

^f UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

Author keywords

Electronic health records; Health information exchange; High throughput phenotyping; Meaningful use; Natural language processing

Indexed keywords

ELECTRONIC HEALTH RECORD; HEALTH INFORMATIONS; MEANINGFUL USE; NATURAL LANGUAGE PROCESSING; PHENOTYPING;

COMPUTATIONAL LINGUISTICS; HEALTH CARE; INFORMATION TECHNOLOGY; NATURAL LANGUAGE PROCESSING SYSTEMS; RESEARCH; SOCIETIES AND INSTITUTIONS; STANDARDIZATION;

RECORDS MANAGEMENT;

ALGORITHM; ARTICLE; CLINICAL STUDY; COMPUTER PROGRAM; DATA BASE; ELECTRONIC MEDICAL RECORD; HEALTH CARE ORGANIZATION; HEALTH CARE PERSONNEL; HEALTH CARE SYSTEM; HUMAN; LANGUAGE PROCESSING; MARKUP LANGUAGE; MEDICAL INFORMATICS; MEDICAL RESEARCH; PRIORITY JOURNAL; STANDARDIZATION; STRUCTURED INTERVIEW;

ALGORITHMS; CLINICAL CODING; DATABASE MANAGEMENT SYSTEMS; DIABETES MELLITUS; ELECTRONIC HEALTH RECORDS; GENOMICS; HUMANS; MEANINGFUL USE; MEDICAL INFORMATICS APPLICATIONS; MODELS, THEORETICAL; NATURAL LANGUAGE PROCESSING; PHENOTYPE;

EID: 84865077477     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2012.01.009     Document Type: Article

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