Deployment and validation of a smart system for screening of language disorders in primary care

María Luisa Martín-Ruiz1, Miguel Ángel Valero Duboy, Iván Pau de la Cruz

  • 1Departamento de Ingeniería y Arquitecturas Telemáticas, Universidad Politécnica de Madrid, Carretera de Valencia km. 7, Madrid 28031, Spain. marisam@diatel.upm.es

Insights

This study introduces a smart system to aid pediatricians in early language disorder detection. The system supports timely referrals, improving developmental outcomes for young children.

Area of Science:

  • Developmental Pediatrics
  • Child Language Disorders
  • Healthcare Technology

Background:

  • Neuro-evolutive development from birth to age six is critical for lifelong quality of life.
  • Early detection of developmental disorders is essential for timely diagnosis and treatment.
  • Primary care pediatricians are vital for early detection but face time and knowledge constraints.

Purpose of the Study:

  • To deploy and evaluate a smart system to enhance language disorder screening in primary care.
  • To provide pediatricians with a decision-support tool for early referral of children with language disorders.
  • To facilitate essential diagnostic and therapeutic actions for comprehensive child development.

Main Methods:

  • The study involved an initial sample of 60 children with language disorders.
  • Validation included a multidisciplinary expert team (neonatology, pediatrics, neurology, language therapy).
  • A second validation step involved evaluating 21 previously diagnosed cases.

Main Results:

  • The smart system was positively accepted by therapists in 18 out of 21 evaluated cases (86%).
  • System redesign suggestions were made for three cases requiring referral to a speech therapist.
  • The system demonstrated potential in supporting pediatricians' screening and referral processes.

Conclusions:

  • The developed smart system effectively supports pediatricians in screening and referring children with language disorders.
  • Early intervention facilitated by this tool can significantly improve developmental trajectories.
  • The system shows promise for enhancing early detection and management of child language disorders in primary care settings.

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