Multi-omics data in regional healthcare management: A methodological project and economic assessment

Aim. The work aimed to present a methodological project for the implementation of multi-omics technologies in regional healthcare management practices, from setting management objectives and data preparation to assessing economic efficiency.

Objectives. The work seeks to characterize the input data, i.e., the process of their processing and integration; to formulate rules for quality control and the sustainability of results; to demonstrate an economic model with an incremental cost-effectiveness ratio (ICER) calculation and uncertainty analysis; to discuss the specifics of transferring the solution to Russian conditions.

Methods. The authors used principles of integrating heterogeneous data (early, late, and mixed integration), factor and network methods for combining omics layers, and standard procedures for economic evaluation of medical technologies with single-factor and probabilistic sensitivity analysis.

Results. A template for setting management objectives linked to data sources at the level of a constituent entity of the Russian Federation was developed, and its applicability for various scenarios (oncology, cardiovascular, and rare diseases) was demonstrated. The end-to-end process was examined, from the certification of data sets and the integration of administrative, clinical, and omics layers to the construction of clinical benefit indicators (proportion of early stages, mortality, rehospitalizations) and economic evaluation. The work presents a model for calculating the ICER with single-factor and probabilistic sensitivity analysis, as well as a cost-effectiveness acceptability curve. A diagnostic maturity scale (0–5) has been introduced to assess the readiness of solutions for implementation in practice.

Conclusions. The transition to management decisions based on multi-omics data is possible with the availability of standardized and certified kits, transparent processing regulations, and a quality control system. Economic feasibility is confirmed by ICER calculations, taking into account parameter uncertainty, test costs, and regional specifics. Effective implementation requires a gradual transition from pilot projects to routine practice, as well as consideration of ethical and social risks, including the non-discriminatory nature of algorithms. Multi-omics is considered a promising tool for improving healthcare outcomes and rational allocation of resources at the regional level.

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