eHealth in pediatric respiratory allergy

Data de publicação:

Autores da FMUP

  • Cristina Isabel Oliveira Jácome

    Autor

Participantes de fora da FMUP

  • Pais-Cunha I.
  • Vieira R.
  • Pinto B.S.
  • Almeida Fonseca J.

Unidades de investigação

Abstract

Purpose of review This review explores the relevance of eHealth technologies to address unmet needs in pediatric respiratory allergies, particularly allergic rhinitis (AR) and asthma. Given the increasing burden of these conditions, there is a pressing need for effective solutions to enhance disease surveillance, diagnosis, and management.Recent findingsRecent literature highlights the potential of eHealth tools to transform pediatric respiratory allergy care. The use of digital data for infodemiology, application of machine learning models to improve diagnostic sensitivity, smartphone apps with digital patient reported outcome measure (PROMs) and embedded sensors to monitor disease, healthcare professional dashboards with real-time data monitoring and clinical decision support systems (CDSS) are advances emerging to optimize pediatric respiratory allergy care.SummaryIntegrating eHealth technologies into the pediatric respiratory allergy care pathway is a potential solution for current healthcare challenges to better meet the needs of children with AR and asthma. However, while the potential of eHealth is evident, its widespread implementation in real-world practice requires continued research, collaboration, and efforts to overcome existing barriers. Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.

Dados da publicação

ISSN/ISSNe:
1528-4050, 1528-4050

Current Opinion in Allergy and Clinical Immunology  Lippincott Williams and Wilkins Ltd.

Tipo:
Review
Páginas:
536-542
Link para outro recurso:
www.scopus.com

Citações Recebidas na Web of Science: 1

Citações Recebidas na Scopus: 1

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Keywords

  • Asthma; Child; Decision Support Systems, Clinical; Humans; Mobile Applications; Respiratory Hypersensitivity; Rhinitis, Allergic; Telemedicine; allergic rhinitis; atopy; childhood disease; clinical decision support system; diagnostic accuracy; early onset asthma; electronic health record; human; infodemiology; lower respiratory tract infection; lung auscultation; lung function; machine learning; patient-reported outcome; personalized medicine; Review; telehealth; telemonitoring; wheezing; allergic rhinitis; asthma; child; diagnosis; immunology; mobile application; respiratory tract allergy; telemedicine; therapy

Proyectos asociados

Prevalence and Characterisation of Asthma Patients According to Disease Severity in Portugal (EPI-ASTHMA) - NCT05169619

Investigador Principal: João de Almeida Lopes da Fonseca

Estudo Clínico Observacional (EPI-ASTHMA) . AstraZeneca . 2021

Measuring adherence to inhaled control medication in patients with asthma: comparison among an asthma app, patient self-report and physician assessment.

Investigador Principal: Cristina Isabel Oliveira Jácome

Estudo Clínico Académico . 2023

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