Early identification of childhood asthma

The role of informatics in an era of electronic health records

Research output: Contribution to journalReview article

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.

Original languageEnglish (US)
Article number113
JournalFrontiers in Pediatrics
Volume7
Issue numberAPR
DOIs
StatePublished - Jan 1 2019

Fingerprint

Informatics
Electronic Health Records
Asthma
Natural Language Processing
Point-of-Care Systems
Medical Records
Morbidity

Keywords

  • Asthma
  • Children
  • Early
  • EHR
  • Identification
  • Informatics

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health

Cite this

@article{f8223419c4434db3bf62626df3ef4fb8,
title = "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.",
keywords = "Asthma, Children, Early, EHR, Identification, Informatics",
author = "Seol, {Hee Yun} and Sunghwan Sohn and Liu, {Hongfang D} and Wi, {Chung Il} and Euijung Ryu and Miguel Park and Juhn, {Young J}",
year = "2019",
month = "1",
day = "1",
doi = "10.3389/fped.2019.00113",
language = "English (US)",
volume = "7",
journal = "Frontiers in Pediatrics",
issn = "2296-2360",
publisher = "Frontiers Media S. A.",
number = "APR",

}

TY - JOUR

T1 - Early identification of childhood asthma

T2 - The role of informatics in an era of electronic health records

AU - Seol, Hee Yun

AU - Sohn, Sunghwan

AU - Liu, Hongfang D

AU - Wi, Chung Il

AU - Ryu, Euijung

AU - Park, Miguel

AU - Juhn, Young J

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Asthma

KW - Children

KW - Early

KW - EHR

KW - Identification

KW - Informatics

UR - http://www.scopus.com/inward/record.url?scp=85064691609&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85064691609&partnerID=8YFLogxK

U2 - 10.3389/fped.2019.00113

DO - 10.3389/fped.2019.00113

M3 - Review article

VL - 7

JO - Frontiers in Pediatrics

JF - Frontiers in Pediatrics

SN - 2296-2360

IS - APR

M1 - 113

ER -