• Expert Rev Clin Pharmacol · Jan 2017

    Review

    Pharmacometrics-based decision tools facilitate mHealth implementation.

    • Fahima Nekka, Chantal Csajka, Mélanie Wilbaux, Sachin Sanduja, Jun Li, and Marc Pfister.
    • a NSERC-Industrial Chair in Pharmacometrics, Full Professor, Faculty of Pharmacy , Université de Montréal , Montreal , Qc , Canada.
    • Expert Rev Clin Pharmacol. 2017 Jan 1; 10 (1): 39-46.

    IntroductionThe healthcare system is experiencing a paradigm shift in delivering its services, evolving from a reactive 'one size-fits-all' structure to a patient-centric model focusing on individualized medicine. This change is driven by scientific progress, including quantitative evaluation and optimization of treatment strategies through pharmacometric approaches, harnessing the power of the digital revolution. Areas covered: This review describes four main steps to apply pharmacometrics-based decision support tools, consisting of validated scientific components, available technical options, consideration of regulatory aspects, and achievement of efficient commercialization. Examples of pharmacometrics-based decision tools that support monitoring of patients and individualization of treatment strategies in neonates, children and adults are presented. Expert commentary: We envision that user-friendly decision support tools will facilitate implementation of mobile health approaches (mHealth) realizing benefits to paediatric and adult patients and their caregivers.

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