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Review
. 2017 Nov;10(6):443-454.
doi: 10.1111/cts.12490. Epub 2017 Aug 10.

Precision Dosing: Public Health Need, Proposed Framework, and Anticipated Impact

Daniel Gonzalez  1 , Gauri G Rao  1 , Stacy C Bailey  2 , Kim L R Brouwer  1 , Yanguang Cao  1 , Daniel J Crona  1   3 , Angela D M Kashuba  1 , Craig R Lee  1 , Kathryn Morbitzer  4 , J Herbert Patterson  1 , Tim Wiltshire  1 , Jon Easter  4 , Scott W Savage  3   4 , J Robert Powell  1
Affiliations
Review

Precision Dosing: Public Health Need, Proposed Framework, and Anticipated Impact

Daniel Gonzalez et al. Clin Transl Sci. 2017 Nov.
No abstract available

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Figures

Figure 1
Figure 1
Integration of electronic health record (EHR) data with computer provider order entry (CPOE) and clinical decision support (CDS) tools.
Figure 2
Figure 2
Bridging information, including exposure–response relationships, from the original patient population studied in clinical trials to specific populations that will receive the drug in real‐world clinical practice.
Figure 3
Figure 3
Drug dosing tool development process. Pharmacokinetic (PK) / pharmacodynamic (PD) studies in the market population can be performed, if needed. Using the information collected in these studies and/or prior information, optimal dosing regimens are designed for all patients. These dosing regimens are then implemented in clinical decision support (CDS) tools. Use of this dosing information and tool is then evaluated, and there is a process in place for continuous refinement and quality improvement of the dosing tool.
See this image and copyright information in PMC

References

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    1. Darwich, A.S. et al Why has model‐informed precision dosing not yet become common clinical reality? Lessons from the past and a roadmap for the future. Clin. Pharmacol. Ther. 101, 646–656 (2017). - PubMed
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