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

Abstract:

: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.

journal_name

Front Pediatr

journal_title

Frontiers in pediatrics

authors

Seol HY,Sohn S,Liu H,Wi CI,Ryu E,Park MA,Juhn YJ

doi

10.3389/fped.2019.00113

subject

Has Abstract

pub_date

2019-04-02 00:00:00

pages

113

issn

2296-2360

journal_volume

7

pub_type

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