Portal de Periódicos da CAPES

Portability of an algorithm to identify rheumatoid arthritis in electronic health records

2012; Oxford University Press; Volume: 19; Issue: e1 Linguagem: Inglês

10.1136/amiajnl-2011-000583

1527-974X

Robert J. Carroll, Will K Thompson, Anne E. Eyler, Arthur M. Mandelin, Tianxi Cai, Raquel Zink, Jennifer A. Pacheco, Chad S. Boomershine, Thomas A. Lasko, Hua Xu, Elizabeth W. Karlson, Raul Guzman Perez, Vivian S. Gainer, Shawn N. Murphy, Eric Ruderman, Richard M. Pope, Robert M. Plenge, Abel Kho, Katherine P. Liao, Joshua C. Denny,

Biomedical Text Mining and Ontologies

Objectives Electronic health records (EHR) can allow for the generation of large cohorts of individuals with given diseases for clinical and genomic research. A rate-limiting step is the development of electronic phenotype selection algorithms to find such cohorts. This study evaluated the portability of a published phenotype algorithm to identify rheumatoid arthritis (RA) patients from EHR records at three institutions with different EHR systems.