Quantitative clinical pharmacology and patient-centered healthcare technologies: perspectives 2030

One of the most promising trends in clinical pharmacology is pharmacometrics, a combination of pharmacology and statistics that implements quantitative approaches for characterising dose–response relationships and predicting the variability of these relationships attributable to patient-specific characteristics (covariates). The aim of the study was to evaluate the significance of quantitative clinical pharmacology and discuss opportunities for its development in the context of health systems moving towards the value-based care model. The study showed that two key prerequisites for pharmacometrics development were the advancements in mathematical and statistical methodology based upon non-linear mixed effects regression modelling and the emergence of a personalised medicine paradigm aimed at creation of strategies for individualised prescribing of medicinal products. The study demonstrated the necessity for using the dose–response relationship information obtained by exploratory analysis of data stored in existing and newly created bases. Further integration of pharmacostatistical modelling and real-world data processing technologies, as well as their incorporation into clinical and economic evaluation of health technologies, will streamline decision making and, thus, facilitate the transition of health systems to the value-based model.