Early Identification of Childhood Asthma: The Role of Informatics in an Era of Electronic Health Records

Frontiers in Pediatrics

article

Hee Yun Seol¹  Sunghwan Sohn²  Hongfang Liu²  Chung-Il Wi¹  Euijung Ryu²  Miguel A. Park³  Young J. Juhn⁴ 

[1] Department of Pediatric and Adolescent Medicine, Mayo Clinic, United States;Department of Health Sciences Research, Mayo Clinic, United States;Division of Allergic Diseases, Mayo Clinic, United States;Department of Pediatric and Adolescent Medicine and Internal Medicine, Mayo Clinic, United States

关键词: early;    identification;    asthma;    children;    informatics;    EHR;   

DOI  :  10.3389/fped.2019.00113

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Emerging literature suggests that delayed identification of childhood asthma results in an increased risk of long-term and various morbidities compared to those with timely diagnosis and intervention, and yet this risk is still overlooked. Even when children and adolescents have a history of recurrent asthma-like symptoms and risk factors embedded in their medical records, this information is sometimes overlooked by clinicians at the point of care. Given the rapid adoption of electronic health record (EHR) systems, early identification of childhood asthma can be achieved utilizing (1) asthma ascertainment criteria leveraging relevant clinical information embedded in EHR and (2) innovative informatics approaches such as natural language processing (NLP) algorithms for asthma ascertainment criteria to enable such a strategy. In this review, we discuss literature relevant to this topic and introduce recently published informatics algorithms (criteria-based NLP) as a potential solution to address the current challenge of early identification of childhood asthma.

【 授权许可】

CC BY