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The expert network and electronic portal for children with respiratory and allergic symptoms: rationale and design

Kim Zomer-Kooijker1, Francine C van Erp, Walter A F Balemans

  • 1Department of Pediatric Pulmonology and Allergology, Wilhelmina Children's Hospital/University Medical Center Utrecht, PO Box 85090, 3508, Utrecht, AB, The Netherlands. k.zomer-kooijker@umcutrecht.nl

BMC Pediatrics
|January 18, 2013
PubMed

Insights

A new Electronic Portal (EP) collects health data from children with respiratory and allergic conditions. This system aims to improve asthma treatment personalization and monitor atopic disease risk factors.

Area of Science:

  • Pediatric Allergy and Immunology
  • Respiratory Medicine
  • Clinical Informatics

Background:

  • Limited data exists on baseline characteristics of pediatric asthma patients to predict treatment responses.
  • A need for efficient data collection systems in clinical practice to address this gap.

Purpose of the Study:

  • To develop and implement a data-collection system for children with respiratory and allergic symptoms.
  • To facilitate research on asthma phenotypes and risk factors for atopic diseases.

Main Methods:

  • Development of a web-based application named 'Electronic Portal' (EP).
  • EP includes health and disease-related questionnaires for respiratory and allergic conditions.
  • Patients aged 1-18 with relevant complaints are invited to use the EP before their initial visit.

Main Results:

  • The Electronic Portal (EP) system is established for collecting comprehensive patient data.
  • The system enables the utilization of large datasets gathered during routine clinical care for research.
  • Facilitates investigation into treatment-related asthma phenotypes and monitoring of risk factors.

Conclusions:

  • The Electronic Portal (EP) provides a scalable solution for collecting valuable data in pediatric respiratory and allergic diseases.
  • This system supports personalized asthma treatment strategies and proactive monitoring of atopic conditions.
  • Enhances research capabilities by leveraging routinely collected clinical data.

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