Abstract
Over the years, the use of therapeutic agents has progressed from administering the same dose, to progressively more complex dosing approaches, in an attempt to personalize treatment. Personalized medicine is based on the concept of tailoring treatment based in part on patient characteristics predictive of response to therapy, thereby improving efficacy and limiting toxicity. However, integrating this information into an appropriate dose for a specific patient is a complex process that requires the development of decision support systems. Dashboard systems offer an improved, convenient means of tailoring treatment for individual patients, particularly for drugs with high variability in exposure, a complex relationship between exposure and response (both beneficial and harmful), or a narrow therapeutic window. We provide an overview of the concept and application of dashboard systems.
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Mould, D., Lesko, L. (2014). Personalized Medicine: Integrating Individual Exposure and Response Information at the Bedside. In: Schmidt, S., Derendorf, H. (eds) Applied Pharmacometrics. AAPS Advances in the Pharmaceutical Sciences Series, vol 14. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-1304-6_2
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DOI: https://doi.org/10.1007/978-1-4939-1304-6_2
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