Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review

• Published in: American journal of respiratory and critical care medicine Vol. 196; no. 4; pp. 430 - 437
• Main Authors: Wi, Chung-Il, Sohn, Sunghwan, Rolfes, Mary C., Seabright, Alicia, Ryu, Euijung, Voge, Gretchen, Bachman, Kay A., Park, Miguel A., Kita, Hirohito, Croghan, Ivana T., Liu, Hongfang, Juhn, Young J.
• Format: Journal Article
• Language: English
• Published: United States American Thoracic Society 15.08.2017
• Subjects: Adolescent; Algorithms; Allergies; Asthma; Asthma - epidemiology; Automation; Child; Child, Preschool; Cohort Studies; Electronic health records; Electronic Health Records - statistics & numerical data; Epidemiology; Female; Health risk assessment; Humans; Male; Medical records; Minnesota - epidemiology; Natural Language Processing; Original; Pediatrics; Prevalence; Primary care; Reproducibility of Results; Retrospective Studies; Rheumatoid arthritis; Risk Factors; Sensitivity and Specificity; Validation studies; Validity; retrospective study; electronic medical records; informatics

Difficulty of asthma ascertainment and its associated methodologic heterogeneity have created significant barriers to asthma care and research. We evaluated the validity of an existing natural language processing (NLP) algorithm for asthma criteria to enable an automated chart review using electroni...