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

Producción científica: Review articlerevisión exhaustiva

Resumen

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.

Idioma originalEnglish (US)
Número de artículo1221863
PublicaciónFrontiers in Pediatrics
Volumen12
DOI
EstadoPublished - mar 11 2024

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health

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