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PACE Forward-Making Pharmacogenomics Testing Available for Real-Life Clinical Utility
11Center for Individualized Medicine, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Pharmacogenomics (PGx) testing ensures the right medication for the right patient. Preemptive, adaptable, current, and executable (PACE) PGx testing overcomes implementation barriers for personalized medicine at the point of care.
Area of Science:
- Pharmacogenomics
- Clinical Pharmacology
- Health Informatics
Background:
- Pharmacogenomics (PGx) has the potential to personalize medication therapy, ensuring optimal drug efficacy and safety.
- Current integration of gene-drug interaction data into electronic health records remains a significant challenge.
- Existing barriers hinder the widespread clinical adoption of PGx for precision medicine.
Purpose of the Study:
- To introduce a preemptive, adaptable, current, and executable (PACE) pharmacogenomic testing strategy.
- To address the human and technological obstacles preventing seamless PGx data integration into patient health records.
- To facilitate the practical implementation of PGx at the point of prescription ordering.
Main Methods:
- Development of the PACE framework for pharmacogenomic testing.
- Evaluation of strategies to overcome barriers in PGx data integration.
- Alignment of PGx testing with clinical practice guidelines and prescription workflows.
Main Results:
- The PACE model offers a viable solution for overcoming implementation challenges in pharmacogenomics.
- Successful integration of PGx data can be achieved through a systematic and adaptable approach.
- Pharmacogenomic testing can be effectively executed at the point of care, optimizing prescribing decisions.
Conclusions:
- Pharmacogenomic testing, when implemented using the PACE framework, can realize the promise of personalized medicine.
- Addressing integration barriers is crucial for leveraging PGx to improve patient outcomes.
- The PACE strategy enables cost-effective and timely application of pharmacogenomics in clinical practice.
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