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Development of a large urban longitudinal HIV clinical cohort using a web-based platform to merge electronically and manually abstracted data from disparate medical record systems: technical challenges and innovative solutions
Author(s) -
Alan E. Greenberg,
Harlen Hays,
Amanda D. Castel,
Thilakavathy Subramanian,
Lindsey Powers Happ,
Maria Jaurretche,
J. Samuel Binkley,
Mariah M. Kalmin,
Kathy Wood,
Rachel Hart
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/ocv176
Subject(s) - benchmarking , health informatics , cohort , medical record , informatics , medicine , data warehouse , computer science , data science , database , public health , engineering , business , nursing , marketing , electrical engineering , radiology
Electronic medical records (EMRs) are being increasingly utilized to conduct clinical and epidemiologic research in numerous fields. To monitor and improve care of HIV-infected patients in Washington, DC, one of the most severely affected urban areas in the United States, we developed a city-wide database across 13 clinical sites using electronic data abstraction and manual data entry from EMRs.

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