eHealth in pediatric respiratory allergy
Autores da FMUP
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
- Tipo:
- Review
- Páginas:
- 536-542
- Link para outro recurso:
- www.scopus.com
Current Opinion in Allergy and Clinical Immunology Lippincott Williams and Wilkins Ltd.
Citações Recebidas na Web of Science: 1
Citações Recebidas na Scopus: 1
Documentos
- Não há documentos
Filiações
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
Campos de estudo
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
Citar a publicação
Pais I,Jácome C,Vieira R,Pinto BS,Almeida J. eHealth in pediatric respiratory allergy. Curr. Opin. Allergy Clin. Immunol. 2024. 24(6):p. 536-542. IF:2,800. (3).