Ying-Chih Lo

Open AccessArticle by Ya-Wen Chuang 1,2,3,4, Shih-Ting Huang 2,3,4, I-Kuan Wang 1,4,5, Ying-Chih Lo 6,7, Chiz-Tzung Chang 4,5, Cheng-Li Lin 4,8, Tung-Min Yu 1,3,4,*,† and Chi-Yuan Li 1,9,*,† 1 Graduate Institute of Biomedical Sciences, China Medical University, Taichung 404333, Taiwan 2 Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung 40227, Taiwan 3 Division of Nephrology, Department of Internal Medicine, Taichung Veterans General...

Thromb Haemost DOI: 10.1055/a-2039-3222 Trial protocol design paper Supported by: American Heart Association #938814 PDF Download Buy Article Permissions and Reprints Background: Contemporary pulmonary embolism (PE) research relies on data from electronic health records (EHRs) and administrative databases that use International Classification of Diseases (ICD) codes. Natural language processing (NLP) tools can be used for automated chart review and patient identification.

Carlos Ortega Ying-Chih Lo, MD, PhD Suzanne Blackley, MA Sachin Vallamkonda Frank Chang Oliver James Sharmitha Yerneni Diane Seger, RPh Liqin Wang, PhD Kimberly Blumenthal, MD MSc FAAAAI Foster Goss, DO, MMSc Paige Wickner, MD FAAAAI Li Zhou, MD, PhD DOI:https://doi.org/10.1016/j.jaci.2020.12.597 Patient allergies are documented in multiple areas of the electronic health records (EHRs) including areas beyond the allergy list (e.g., notes, laboratory tests, and flowsheets).