Open AccessElectronic Medical Record-Based Deep Data Cleaning and Phenotyping Improve the Diagnostic Validity and Mortality Assessment of Infective Endocarditis: Medical Big Data Initiative of CMUH
Author(s) -
HsiuYin Chiang,
Lijun Liang,
ChunPin Lin,
Yi-Jin Chen,
Min-Yen Wu,
Sheng-Hsuan Chen,
Pin-Hua Wu,
ChinChi Kuo,
Chih-Yu Chi
Publication year - 2021
Publication title -
biomedicine
Language(s) - English
Resource type - Journals
eISSN - 2211-8039
pISSN - 2211-8020
DOI - 10.37796/2211-8039.1267
Subject(s) - medicine , icd 10 , infective endocarditis , medical record , diagnosis code , predictive value , endocarditis , hospital discharge , emergency medicine , coding (social sciences) , population , statistics , environmental health , psychiatry , mathematics
International Classification of Diseases (ICD) code-based claims databases are often used to study infective endocarditis (IE). However, the quality of ICD coding can influence the reliability of IE research. The impact of complementing the ICD-only approach with data extracted from electronic medical records (EMRs) has yet to be explored.