• Population-based model for implementing personalized medicine in pediatric practice within a capable healthcare network
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Population-based model for implementing personalized medicine in pediatric practice within a capable healthcare network

Ukrainian Journal of Perinatology and Pediatrics. 2025.4(104): 50-59. doi: 10.15574/PP.2025.4(104).5059
Turova L. O.
Bogomolets National Medical University, Kyiv, Ukraine

For citation: Turova LO. (2025). Population-based model for implementing personalized medicine in pediatric practice within a capable healthcare network. Ukrainian Journal of Perinatology and Pediatrics. 4(104): 50-59. doi: 10.15574/PP.2025.4(104).5059.
Article received: Aug 02, 2025. Accepted for publication: Nov 27, 2025.

Aim – to develop and scientifically substantiate a population-based model for the implementation of personalized medicine in pediatric practice within a capable healthcare facility network.
Materials and methods. An organizational and analytical study was conducted using a systemic analysis of the regulatory framework governing the formation of a capable healthcare network, a comparative analysis of international experience in integrating genomic medicine, and structural modeling. A multilevel model for the integration of genetic predictors into pediatric practice was developed.
Results. A three-tier organizational model (primary, cluster, and supercluster levels) was established to ensure the phased integration of genetic predictors into pediatric healthcare delivery. A population-based algorithm for family genetic support was developed, covering the continuum from the preconception period to the postnatal stage. The model incorporates risk stratification, the development of individualized preventive care pathways, and the establishment of regional registries.
Conclusions. The proposed model enables the systematic integration of personalized approaches into pediatric care, facilitates the early identification of genetic risks, and provides a foundation for reducing long-term morbidity and optimizing healthcare resources.
The author declares no conflict of interest.
Keywords: personalized medicine, genetic predictors, pediatrics, healthcare organization, population-based prevention.

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