Digital technologies to improve the precision of paediatric growth disorder diagnosis and management

Leo Dunkel1, Luis Fernandez-Luque2, Sandro Loche3

  • 1Centre for Endocrinology, William Harvey Research Institute, Barts and the London Medical School, 1st Floor, John Vane Science Centre, Charterhouse Square, London ECe1M 6BQ, UK.

Insights

Digital health technologies can improve management of pediatric growth disorders by enhancing early diagnosis and treatment adherence. Innovations like AI and electronic devices offer personalized care, leading to better growth outcomes.

Area of Science:

  • Pediatric Endocrinology
  • Digital Health
  • Growth Disorders

Background:

  • Paediatric disorders of impaired linear growth present management challenges due to delayed diagnosis, long-term therapy needs, and poor treatment adherence.
  • Human growth hormone (hGH) therapy adherence is often suboptimal, limiting treatment benefits.
  • Digital health technologies offer potential solutions for personalized care in pediatric growth disorders.

Purpose of the Study:

  • To explore the role of digital health technologies in improving the diagnosis, treatment, and follow-up of paediatric growth disorders.
  • To highlight how technology can enhance personalization of care and adherence to treatments like hGH therapy.

Main Methods:

  • Review of existing and emerging digital health technologies, including automated growth monitoring systems, artificial intelligence (AI) for data analysis, and augmented reality (AR) for patient education.
  • Examination of technology-assisted adherence monitoring, exemplified by electronic injection devices that record hGH administration.
  • Discussion of the integration of technological advances with healthcare provider interventions.

Main Results:

  • Automated systems demonstrate greater effectiveness than manual methods for early diagnosis of abnormal growth.
  • Electronic injection devices are associated with high adherence rates to hGH treatment and improved growth outcomes.
  • AI can help standardize growth data analysis, and AR can improve patient/caregiver education on disorders and treatments.

Conclusions:

  • Digital health technologies significantly enhance the management of paediatric growth disorders through improved diagnosis, personalized care, and adherence support.
  • Technological innovations, combined with healthcare professional support, are expected to further optimize outcomes for children with growth impairments.
  • Personalized adherence strategies, enabled by devices like electronic injectors, are crucial for achieving therapeutic goals.