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Data interoperability for a systems approach to developmental conditions.

Féline Mollerus1, Cecil Lynch2, Hilgo Bruining3

  • 1Amsterdam UMC, N=You Neurodevelopmental Precision Center, Department of Child and Adolescent Psychiatry & Psychosocial Care, Amsterdam, the Netherlands; Amsterdam UMC, Emma Children's Hospital, Department of Child and Adolescent Psychiatry & Psychosocial Care, Amsterdam, the Netherlands; Accenture, Amsterdam, the Netherlands.

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Data interoperability is crucial for understanding developmental conditions like autism and ADHD. Integrating fragmented health data improves care coordination, reduces testing, and enables advanced analytics for better patient outcomes.

Keywords:
Artificial, intelligenceComplex systemsData governanceData interoperabilityDevelopmental conditionsHealth information systemsSystems approach

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Area of Science:

  • Pediatric Health
  • Health Informatics
  • Complex Systems Science

Background:

  • Rising prevalence of developmental conditions (autism, ADHD, learning disorders) necessitates integrated approaches.
  • Current data fragmentation across caregivers hinders comprehensive understanding of genetic, environmental, and societal factors.
  • Lack of data interoperability leads to administrative burden, repeated diagnostics, care delays, and poorer patient outcomes.

Purpose of the Study:

  • Emphasize the transformative potential of data interoperability for developmental conditions.
  • Discuss barriers and strategies for achieving interoperability in healthcare.
  • Highlight the role of interoperability in enabling complex systems approaches and advanced analytics.

Main Methods:

  • Perspective piece discussing key concepts, implementation barriers, and strategies for data interoperability.
  • Review of standards such as FHIR and SNOMED CT for healthcare data exchange.
  • Analysis of practical case examples demonstrating the benefits of interoperability.

Main Results:

  • Interoperability is a prerequisite for a complex systems approach to developmental conditions.
  • Standards like FHIR and SNOMED CT are key to achieving interoperability, addressing security and regulatory concerns.
  • Interoperable systems enhance cross-disciplinary collaboration, reduce data redundancy, and provide comprehensive patient views.

Conclusions:

  • Collaborative efforts are essential to realize healthcare data interoperability.
  • Interoperable systems support advanced analytics and AI for improved diagnosis and personalized treatment of developmental conditions.
  • Achieving interoperability leads to more accurate predictions and better clinical outcomes for complex pediatric health issues.