A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities

Alvaro G. Moreira; Ameena Husain; Lindsey A. Knake; Khyzer Aziz; Kelsey Simek; Charles T. Valadie; Nisha Reddy Pandillapalli; Vanessa Trivino; James S Barry

doi:10.3389/fped.2024.1221863

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A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities

Journal article

Open access

Peer reviewed

A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities

Alvaro G. Moreira, Ameena Husain, Lindsey A. Knake, Khyzer Aziz, Kelsey Simek, Charles T. Valadie, Nisha Reddy Pandillapalli, Vanessa Trivino and James S Barry

Frontiers in pediatrics, Vol.12, 1221863

02/01/2024

DOI: 10.3389/fped.2024.1221863

PMCID: PMC10894945

PMID: 38410770

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https://doi.org/10.3389/fped.2024.1221863View

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Abstract

Bronchopulmonary dysplasia (BPD) is a complex, multifactorial lung disease affecting preterm neonates that can result in long-term pulmonary and non-pulmonary complications. Current therapies mainly focus on symptom management after the development of BPD, indicating a need for innovative approaches to predict and identify neonates who would benefit most from targeted or earlier interventions. Clinical informatics, a subfield of biomedical informatics, is transforming healthcare by integrating computational methods with patient data to improve patient outcomes. The application of clinical informatics to develop and enhance clinical therapies for BPD presents opportunities by leveraging electronic health record data, applying machine learning algorithms, and implementing clinical decision support systems. This review highlights the current barriers and the future potential of clinical informatics in identifying clinically relevant BPD phenotypes and developing clinical decision support tools to improve the management of extremely preterm neonates developing or with established BPD. However, the full potential of clinical informatics in advancing our understanding of BPD with the goal of improving patient outcomes cannot be achieved unless we address current challenges such as data collection, storage, privacy, and inherent data bias.

Informatics

bronchopulmonary dysplasia

chronic lung disease

clinical decision

premature neonate

Details

Title: Subtitle: A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities
Creators: Alvaro G. Moreira - The University of Texas Health Science Center at San Antonio
Ameena Husain - University of Utah
Lindsey A. Knake - University of Iowa
Khyzer Aziz - Johns Hopkins University
Kelsey Simek - University of Utah
Charles T. Valadie - The University of Texas Health Science Center at San Antonio
Nisha Reddy Pandillapalli - The University of Texas Health Science Center at San Antonio
Vanessa Trivino - The University of Texas Health Science Center at San Antonio
James S Barry - University of Colorado Denver
Resource Type: Journal article
Publication Details: Frontiers in pediatrics, Vol.12, 1221863
DOI: 10.3389/fped.2024.1221863
PMID: 38410770
PMCID: PMC10894945
NLM abbreviation: Front Pediatr
eISSN: 2296-2360
Publisher: Frontiers Media S.A
Grant note: award: K23HD10170; award: 5R25HL126140-06
Language: English
Date published: 02/01/2024
Academic Unit: Stead Family Department of Pediatrics; Neonatology
Record Identifier: 9984559878202771

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