作者
Robert J Carroll, Will K Thompson, Anne E Eyler, Arthur M Mandelin, Tianxi Cai, Raquel M Zink, Jennifer A Pacheco, Chad S Boomershine, Thomas A Lasko, Hua Xu, Elizabeth W Karlson, Raul G Perez, Vivian S Gainer, Shawn N Murphy, Eric M Ruderman, Richard M Pope, Robert M Plenge, Abel Ngo Kho, Katherine P Liao, Joshua C Denny
发表日期
2012/2/28
期刊
Journal of the American Medical Informatics Association
页码范围
amiajnl-2011-000583
出版商
BMJ Publishing Group Ltd
简介
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.
Materials and Methods Physicians reviewed charts from three institutions to identify patients with RA. Each institution compiled attributes from various sources in the EHR, including codified data and clinical narratives, which were searched using one of two natural language processing (NLP) systems. The performance of the published model was compared with locally retrained models.
Results Applying the previously published model from …
学术搜索中的文章
RJ Carroll, WK Thompson, AE Eyler, AM Mandelin… - Journal of the American Medical Informatics …, 2012