Extracting lung function measurements to enhance phenotyping of chronic obstructive pulmonary disease (COPD) in an electronic health record using automated tools.
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ABSTRACT:
SUBMITTER: Akgun KM
PROVIDER: S-EPMC6964890 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Extracting lung function measurements to enhance phenotyping of chronic obstructive pulmonary disease (COPD) in an electronic health record using automated tools.
Akgün Kathleen M KM Sigel Keith K Cheung Kei-Hoi KH Kidwai-Khan Farah F Bryant Alex K AK Brandt Cynthia C Justice Amy A Crothers Kristina K
PloS one 20200116 1
<h4>Background</h4>Chronic obstructive pulmonary disease (COPD) is associated with poor quality of life, hospitalization and mortality. COPD phenotype includes using pulmonary function tests to determine airflow obstruction from the forced expiratory volume in one second (FEV1):forced vital capacity. FEV1 is a commonly used value for severity but is difficult to identify in structured electronic health record (EHR) data.<h4>Data source and methods</h4>Using the Microsoft SQL Server's full-text s ...[more]
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