At the core of the child's medical, social, and educational pathway, coordination and referral platforms (CRPs) for neurodevelopmental disorders (NDDs) have been gradually deployed in France since 2018 and support the early detection of NDDs in children. The 112 nationwide CRPs do not benefit from a common electronic health record system. Our aim was to propose an HER model for CRP to enable real-life data reuse, optimize care pathway management and conduct pre-screening for research. CRP data were collected (n=34) into an application enriched by a NLP tool extracting standardized scales for NDDs assessments from medical and paramedical professionals. NLP tool evaluation presented a precision of 86.4% and recall of 90.5%. CRP support was provided to 195 children included between 1 September 2022 and 31 August 2023, aged 4 years, with a sex ratio of 2.8, with delays reported in language (75%) and concerned by global developmental delays (16%). Children's ND phenotype and care pathway description could be automated by a harmonized and structured EHR. While many clinical situations are at an impasse, real-life data-driven evidence is particularly relevant in the context of NDDs, where early intervention plays such a key role in children's development and prognosis. A harmonized and enriched CRP database could benefit both individual and public health levels with pathway monitoring, intervention proposals and research pre-screenings.
Keywords: Early intervention and diagnosis; Health data structuration; Neurodevelopmental disorders; Real-life data; Text-mining.