Identifying and mitigating biases in EHR laboratory tests

Journal of Biomedical Informatics

Volumn 51, Issue , 2014, Pages 24-34

  Pivovarov, Rimma ^a   Albers, David J ^a   Sepulveda, Jorge L ^b   Elhadad, Noémie ^a  

^a Howard Hughes Medical Institute   (United States)

^b New York Presbyterian Morgan Stanley Children's Hospital   (United States)

Author keywords

Bias; Confounding; Electronic health record; Information theory; Laboratory testing; Missing data

Indexed keywords

INFORMATION THEORY; RECORDS MANAGEMENT; SEPARATION;

BIAS; CONFOUNDING; ELECTRONIC HEALTH RECORD; LABORATORY TESTING; MISSING DATA;

LABORATORIES;

CREATININE; TRIACYLGLYCEROL LIPASE;

ACUTE KIDNEY FAILURE; ACUTE PANCREATITIS; ARTICLE; CHRONIC KIDNEY DISEASE; ELECTRONIC MEDICAL RECORD; HUMAN; INFORMATION PROCESSING BIAS; LABORATORY TEST; MEASUREMENT; ARTIFACT; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; DATA MINING; EPIDEMIOLOGY; HOSPITAL INFORMATION SYSTEM; PROCEDURES; STATISTICAL ANALYSIS; STATISTICS AND NUMERICAL DATA; UNITED STATES;

ARTIFACTS; CLINICAL LABORATORY INFORMATION SYSTEMS; CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; DATA MINING; ELECTRONIC HEALTH RECORDS; NEW YORK; PATTERN RECOGNITION, AUTOMATED;

EID: 84908039923     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.03.016     Document Type: Article

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